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  <resource slug="dify" kind="agent-framework" stars="161154"><name>Dify</name><url>https://dify.ai</url><description>Visual LLM app builder + agent runtime.</description></resource>
  <resource slug="tradingagents" kind="agent-framework" stars="122534"><name>TradingAgents</name><url>https://github.com/TauricResearch/TradingAgents</url><description>Multi-agent LLM trading framework.</description></resource>
  <resource slug="deer-flow" kind="agent-framework" stars="85335"><name>DeerFlow</name><url>https://github.com/bytedance/deer-flow</url><description>ByteDance deep-research agent framework.</description></resource>
  <resource slug="autogen" kind="agent-framework" stars="61815"><name>Microsoft AutoGen</name><url>https://microsoft.github.io/autogen</url><description>Multi-agent conversation framework.</description></resource>
  <resource slug="crewai" kind="agent-framework" stars="60887"><name>CrewAI</name><url>https://crewai.com</url><description>Role-playing multi-agent crews.</description></resource>
  <resource slug="openmanus" kind="autonomous-agent|agent-framework" stars="58967"><name>OpenManus</name><url>https://github.com/FoundationAgents/OpenManus</url><description>Open Manus-style general agent.</description></resource>
  <resource slug="vibe-trading" kind="agent-framework" stars="38210"><name>Vibe Trading</name><url>https://github.com/HKUDS/Vibe-Trading</url><description>Vibe-coding for trading strategies.</description></resource>
  <resource slug="agentgpt" kind="autonomous-agent" stars="36264"><name>AgentGPT</name><url>https://agentgpt.reworkd.ai</url><description>Browser-based autonomous agent.</description></resource>
  <resource slug="lean" kind="agent-framework" stars="22527"><name>QuantConnect Lean</name><url>https://www.quantconnect.com/lean</url><description>Open algorithmic trading engine.</description></resource>
  <resource slug="eliza" kind="agent-framework" stars="19873"><name>ElizaOS</name><url>https://elizaos.ai</url><description>Agent framework for social + onchain agents.</description></resource>
  <resource slug="superagi" kind="agent-framework" stars="17745"><name>SuperAGI</name><url>https://superagi.com</url><description>Agent platform + tooling.</description></resource>
  <resource slug="agent-native" kind="agent-framework" stars="7702"><name>Agent-Native (Builder.io)</name><url>https://agent-native.com</url><description>TS framework where the agent and UI are equal partners — one defineAction serves UI, agent, HTTP, MCP, A2A, and CLI. Postgres+Drizzle state, workspace of composable mini-apps, Dispatch control plane.</description></resource>
  <resource slug="langchain" kind="agent-framework"><name>LangChain</name><url>https://www.langchain.com</url><description>The incumbent agent/LLM app framework.</description></resource>
  <resource slug="llamaindex" kind="agent-framework"><name>LlamaIndex</name><url>https://www.llamaindex.ai</url><description>Data framework for LLM apps + agents.</description></resource>
  <resource slug="smolagents" kind="agent-framework"><name>smolagents</name><url>https://github.com/huggingface/smolagents</url><description>HF's minimal code-agent library.</description></resource>
  <resource slug="openai-agents-sdk" kind="agent-framework"><name>OpenAI Agents SDK</name><url>https://openai.github.io/openai-agents-python</url><description>OpenAI's agent orchestration SDK.</description></resource>
  <resource slug="google-adk" kind="agent-framework"><name>Google ADK</name><url>https://google.github.io/adk-docs</url><description>Google's agent development kit.</description></resource>
  <resource slug="t3rnel" kind="agent-framework"><name>T3rnel Agent OS</name><url>https://github.com/t3ratech/t3rnel</url><description>Rust agent operating system (this project's parent).</description></resource>
  <resource slug="awesome-adala" kind="agent-framework"><name>Adala</name><url>https://github.com/HumanSignal/Adala</url><description>Adala: Autonomous Data (Labeling) Agent framework</description></resource>
  <resource slug="awesome-agent4rec" kind="agent-framework"><name>Agent4Rec</name><url>https://github.com/LehengTHU/Agent4Rec</url><description>Recommender system simulator with 1,000 agents</description></resource>
  <resource slug="awesome-agentforge" kind="agent-framework"><name>AgentForge</name><url>https://github.com/DataBassGit/AgentForge</url><description>LLM-agnostic platform for agent building &amp; testing</description></resource>
  <resource slug="awesome-agentpilot" kind="agent-framework"><name>AgentPilot</name><url>https://github.com/jbexta/AgentPilot</url><description>Build, manage, and chat with agents in desktop app</description></resource>
  <resource slug="awesome-agentverse" kind="agent-framework"><name>AgentVerse</name><url>https://github.com/OpenBMB/AgentVerse</url><description>Platform for task-solving &amp; simulation agents</description></resource>
  <resource slug="awesome-ai-legion" kind="agent-framework"><name>AI Legion</name><url>https://github.com/eumemic/ai-legion</url><description>Multi-agent TS platform, similar to AutoGPT</description></resource>
  <resource slug="awesome-ailice" kind="agent-framework"><name>AIlice</name><url>https://github.com/myshell-ai/AIlice</url><description>Create agents-calling tree to execute your tasks</description></resource>
  <resource slug="awesome-autogen" kind="agent-framework"><name>AutoGen</name><url>https://github.com/microsoft/autogen</url><description>Multi-agent framework with diversity of agents</description></resource>
  <resource slug="awesome-automata" kind="agent-framework"><name>Automata</name><url>https://github.com/emrgnt-cmplxty/automata</url><description>Generate code based on your project context</description></resource>
  <resource slug="awesome-autopr" kind="agent-framework"><name>AutoPR</name><url>https://github.com/irgolic/AutoPR</url><description>AI-generated pull requests agent that fixes issues</description></resource>
  <resource slug="awesome-autonomous-hr-chatbot" kind="agent-framework"><name>Autonomous HR Chatbot</name><url>https://github.com/stepanogil/autonomous-hr-chatbot</url><description>Agent that answers HR-related queries using tools</description></resource>
  <resource slug="awesome-babyagi" kind="agent-framework"><name>BabyAGI</name><url>https://github.com/yoheinakajima/babyagi</url><description>A simple framework for managing tasks using AI</description></resource>
  <resource slug="awesome-babybeeagi" kind="agent-framework"><name>BabyBeeAGI</name><url>https://yoheinakajima.com/babybeeagi-task-management-and-functionality-expansion-on-top-of-babyagi/</url><description>Task management &amp; functionality BabyAGI expansion</description></resource>
  <resource slug="awesome-babycatagi" kind="agent-framework"><name>BabyCatAGI</name><url>https://replit.com/@YoheiNakajima/BabyCatAGI</url><description>BabyCatAGI is a mod of BabyBeeAGI</description></resource>
  <resource slug="awesome-babydeeragi" kind="agent-framework"><name>BabyDeerAGI</name><url>https://twitter.com/yoheinakajima/status/1666313838868992001</url><description>Mod of BabyAGI with only ~350 lines of code</description></resource>
  <resource slug="awesome-babyelfagi" kind="agent-framework"><name>BabyElfAGI</name><url>https://twitter.com/yoheinakajima/status/1678443482866933760</url><description>Mod of BabyDeerAGI, with ~895 lines of code</description></resource>
  <resource slug="awesome-babycommandagi" kind="agent-framework"><name>BabyCommandAGI</name><url>https://github.com/saten-private/BabyCommandAGI</url><description>Test what happens when you combine CLI and LLM</description></resource>
  <resource slug="awesome-babyfoxagi" kind="agent-framework"><name>BabyFoxAGI</name><url>https://github.com/yoheinakajima/babyagi/tree/main/classic/babyfoxagi</url><description>Mod of BabyAGI with a new parallel UI panel</description></resource>
  <resource slug="awesome-bambooai" kind="agent-framework"><name>BambooAI</name><url>https://github.com/pgalko/BambooAI</url><description>Data exploration and analysis for non-programmers</description></resource>
  <resource slug="awesome-beebot" kind="agent-framework"><name>BeeBot</name><url>https://github.com/AutoPackAI/beebot</url><description>Early-stage project for wide range of tasks</description></resource>
  <resource slug="awesome-blinky" kind="agent-framework"><name>Blinky</name><url>https://github.com/seahyinghang8/blinky</url><description>An open-source AI debugging agent for VSCode</description></resource>
  <resource slug="awesome-bloop" kind="agent-framework"><name>Bloop</name><url>https://bloop.ai/</url><description>AI code search, works for Rust and Typescript</description></resource>
  <resource slug="awesome-bondai" kind="agent-framework"><name>BondAI</name><url>https://bondai.dev/</url><description>Code interpreter with CLI &amp; RESTful/WebSocket API</description></resource>
  <resource slug="awesome-bumpgen" kind="agent-framework"><name>bumpgen</name><url>https://github.com/xeol-io/bumpgen</url><description>AI agent that keeps npm dependencies up-to-date</description></resource>
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  <resource slug="awesome-camel" kind="agent-framework"><name>CAMEL</name><url>https://github.com/camel-ai/camel</url><description>Architecture for “Mind” Exploration of agents</description></resource>
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  <resource slug="awesome-chatdev" kind="agent-framework"><name>ChatDev</name><url>https://github.com/OpenBMB/ChatDev</url><description>Communicative agents for software development</description></resource>
  <resource slug="awesome-chemcrow" kind="agent-framework"><name>ChemCrow</name><url>https://github.com/ur-whitelab/chemcrow-public</url><description>LangChain agent for chemistry-related tasks</description></resource>
  <resource slug="awesome-clippy" kind="agent-framework"><name>Clippy</name><url>https://github.com/ennucore/clippy/</url><description>Agent that can plan, write, debug, and test code</description></resource>
  <resource slug="awesome-codefuse-chatbot" kind="agent-framework"><name>CodeFuse-ChatBot</name><url>https://github.com/codefuse-ai/codefuse-chatbot</url><description>Agent serving entire SW development lifecycle</description></resource>
  <resource slug="awesome-cody-by-ajhous44" kind="agent-framework"><name>Cody by ajhous44</name><url>https://github.com/ajhous44/cody</url><description>Query and navigate your codebase</description></resource>
  <resource slug="awesome-cody-by-sourcegraph" kind="agent-framework"><name>Cody by Sourcegraph</name><url>https://docs.sourcegraph.com/cody</url><description>Agent that writes code and answers your questions</description></resource>
  <resource slug="awesome-data-to-paper" kind="agent-framework"><name>data-to-paper</name><url>https://github.com/Technion-Kishony-lab/data-to-paper</url><description>AI-driven research from data to human-verifiable research papers</description></resource>
  <resource slug="awesome-databerry" kind="agent-framework"><name>Databerry</name><url>https://www.databerry.ai/</url><description>(Pivoted to Chaindesk) No-code chatbot building</description></resource>
  <resource slug="awesome-demogpt" kind="agent-framework"><name>DemoGPT</name><url>https://github.com/melih-unsal/DemoGPT</url><description>Generates demo of a new app (of any purpose)</description></resource>
  <resource slug="awesome-devgpt" kind="agent-framework"><name>DevGPT</name><url>https://github.com/jina-ai/dev-gpt</url><description>Team of virtual developers</description></resource>
  <resource slug="awesome-devika" kind="agent-framework"><name>Devika</name><url>https://github.com/stitionai/devika</url><description>Agentic AI Software Engineer</description></resource>
  <resource slug="awesome-devon" kind="agent-framework"><name>Devon</name><url>https://github.com/entropy-research/Devon</url><description>Open-source Devin alternative</description></resource>
  <resource slug="awesome-devopsgpt" kind="agent-framework"><name>DevOpsGPT</name><url>https://github.com/kuafuai/DevOpsGPT</url><description>AI-Driven SW Development Automation Solution</description></resource>
  <resource slug="awesome-dotagent" kind="agent-framework"><name>dotagent</name><url>https://github.com/dot-agent/dotagent</url><description>Deploy agents on cloud, PCs, or mobile devices</description></resource>
  <resource slug="awesome-eidolon" kind="agent-framework"><name>Eidolon</name><url>https://eidolonai.com/</url><description>Multi Agent SDK with pluggable, modular components</description></resource>
  <resource slug="awesome-english-compiler" kind="agent-framework"><name>English Compiler</name><url>https://github.com/uilicious/english-compiler</url><description>Converting markdown specs into functional code</description></resource>
  <resource slug="awesome-evo-ninja" kind="agent-framework"><name>evo.ninja</name><url>https://evo.ninja/</url><description>AI agent that adapts its persona to achive tasks</description></resource>
  <resource slug="awesome-fastagency" kind="agent-framework"><name>FastAgency</name><url>https://fastagency.ai/latest/</url><description>The fastest way to deploy multi-agent workflows</description></resource>
  <resource slug="awesome-flowise" kind="agent-framework"><name>Flowise</name><url>https://flowiseai.com/</url><description>Low code Agent builder</description></resource>
  <resource slug="awesome-friday" kind="agent-framework"><name>Friday</name><url>https://github.com/amirrezasalimi/friday/</url><description>AI developer assistant for Node.js</description></resource>
  <resource slug="awesome-genia" kind="agent-framework"><name>GeniA</name><url>https://github.com/genia-dev/GeniA</url><description>Engineering platform engineering AI team member</description></resource>
  <resource slug="awesome-godmode" kind="agent-framework"><name>Godmode</name><url>https://godmode.space/</url><description>Inspired by AutoGPT and BabyAGI, with nice UI</description></resource>
  <resource slug="awesome-gpt-discord" kind="agent-framework"><name>GPT Discord</name><url>https://github.com/Kav-K/GPTDiscord</url><description>The ultimate AI agent integration for Discord</description></resource>
  <resource slug="awesome-gpt-engineer" kind="agent-framework"><name>GPT Engineer</name><url>https://gptengineer.app/</url><description>Generates entire codebase based on a prompt</description></resource>
  <resource slug="awesome-gpt-migrate" kind="agent-framework"><name>GPT Migrate</name><url>https://github.com/0xpayne/gpt-migrate</url><description>Migrate codebase between frameworks/languages</description></resource>
  <resource slug="awesome-gpt-pilot" kind="agent-framework"><name>GPT Pilot</name><url>https://github.com/Pythagora-io/gpt-pilot</url><description>Code the entire scalable app from scratch</description></resource>
  <resource slug="awesome-gpt-researcher" kind="agent-framework"><name>GPT Researcher</name><url>https://github.com/assafelovic/gpt-researcher</url><description>Agent that researches entire internet on any topic</description></resource>
  <resource slug="awesome-gpt-runner" kind="agent-framework"><name>GPT Runner</name><url>https://github.com/nicepkg/gpt-runner</url><description>Agent that converses with your files</description></resource>
  <resource slug="awesome-gptswarm" kind="agent-framework"><name>GPTSwarm</name><url>https://gptswarm.org/</url><description>Language Agents as Optimizable Graphs</description></resource>
  <resource slug="awesome-ix" kind="agent-framework"><name>IX</name><url>https://github.com/kreneskyp/ix</url><description>Agents building, debugging, and deploying platform</description></resource>
  <resource slug="awesome-jarvis" kind="agent-framework"><name>JARVIS</name><url>https://github.com/microsoft/JARVIS</url><description>System that connects LLMs with the ML community</description></resource>
  <resource slug="awesome-langroid" kind="agent-framework"><name>Langroid</name><url>https://github.com/langroid/langroid</url><description>Multi-agent framework for building LLM apps</description></resource>
  <resource slug="awesome-lemon-agent" kind="agent-framework"><name>Lemon Agent</name><url>https://github.com/felixbrock/lemon-agent</url><description>Plan-Validate-Solve agent for workflow automation</description></resource>
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  <resource slug="awesome-llm-stack" kind="agent-framework"><name>LLM Stack</name><url>https://llmstack.ai/</url><description>No-code platform to build LLM Agents</description></resource>
  <resource slug="awesome-local-gpt" kind="agent-framework"><name>Local GPT</name><url>https://github.com/PromtEngineer/localGPT</url><description>Chat with documents without compromising privacy</description></resource>
  <resource slug="awesome-loop-gpt" kind="agent-framework"><name>Loop GPT</name><url>https://github.com/farizrahman4u/loopgpt/tree/main</url><description>Re-implementation of AutoGPT as a Python package</description></resource>
  <resource slug="awesome-l2mac" kind="agent-framework"><name>L2MAC</name><url>https://github.com/samholt/l2mac</url><description>Agent framework able to produce large complex codebases and entire books</description></resource>
  <resource slug="awesome-maige" kind="agent-framework"><name>Maige</name><url>https://maige.app</url><description>Natural-language workflows for your GitHub repo.</description></resource>
  <resource slug="awesome-magick" kind="agent-framework"><name>Magick</name><url>https://www.magickml.com/</url><description>AIDE for creating, deploying, monetizing agents</description></resource>
  <resource slug="awesome-memfree" kind="agent-framework"><name>MemFree</name><url>https://github.com/memfreeme/memfree</url><description>Open Source Hybrid AI Search Engine</description></resource>
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  <resource slug="awesome-mentat" kind="agent-framework"><name>Mentat</name><url>https://github.com/biobootloader/mentat</url><description>Assists you with coding task from command line</description></resource>
  <resource slug="awesome-metagpt" kind="agent-framework"><name>MetaGPT</name><url>https://github.com/geekan/MetaGPT</url><description>Agent framework returning Design, Tasks, or Repo</description></resource>
  <resource slug="awesome-mini-agi" kind="agent-framework"><name>Mini AGI</name><url>https://github.com/muellerberndt/mini-agi</url><description>General-purpose agent based on GPT-3.5 / GPT-4</description></resource>
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  <resource slug="awesome-multi-gpt" kind="agent-framework"><name>Multi GPT</name><url>https://github.com/rumpfmax/Multi-GPT</url><description>Experimental multi-agent system</description></resource>
  <resource slug="awesome-mutahunterai" kind="agent-framework"><name>MutahunterAI</name><url>https://github.com/codeintegrity-ai/mutahunter</url><description>MutahunterAI: Accelerate developer productivity and code security with our open-source AI</description></resource>
  <resource slug="awesome-nlsom" kind="agent-framework"><name>NLSOM</name><url>https://github.com/mczhuge/NLSOM</url><description>Natural Language-Based Societies of Mind</description></resource>
  <resource slug="awesome-openagents" kind="agent-framework"><name>OpenAgents</name><url>https://github.com/xlang-ai/OpenAgents</url><description>Multi-agent general purpose platform</description></resource>
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  <resource slug="awesome-opendevin" kind="agent-framework"><name>OpenDevin</name><url>https://github.com/OpenDevin/OpenDevin</url><description>OpenDevin: Code Less, Make More</description></resource>
  <resource slug="awesome-open-interpreter" kind="agent-framework"><name>Open Interpreter</name><url>https://openinterpreter.com/</url><description>Code interpreter that lets LLMs execute code</description></resource>
  <resource slug="awesome-pezzo" kind="agent-framework"><name>Pezzo</name><url>https://www.pezzo.ai/</url><description>Development toolkit for prompt management &amp; more</description></resource>
  <resource slug="awesome-private-gpt" kind="agent-framework"><name>Private GPT</name><url>https://www.privategpt.io/</url><description>Tool for private interaction with your documents</description></resource>
  <resource slug="awesome-promethai" kind="agent-framework"><name>PromethAI</name><url>https://github.com/topoteretes/PromethAI-Backend</url><description>AI agent that helps with nutrition and other goals</description></resource>
  <resource slug="awesome-react-agent" kind="agent-framework"><name>React Agent</name><url>https://reactagent.io/</url><description>Open-source React.js Autonomous LLM Agent</description></resource>
  <resource slug="awesome-self-operating-computer" kind="agent-framework"><name>Self-operating computer</name><url>https://www.hyperwriteai.com/self-operating-computer</url><description>Let multimodal models operate a computer</description></resource>
  <resource slug="awesome-smol-developer" kind="agent-framework"><name>Smol developer</name><url>https://github.com/smol-ai/developer</url><description>Your own junior AI developer, deployed via E2B UI</description></resource>
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  <resource slug="awesome-suspicion-agent" kind="agent-framework"><name>Suspicion Agent</name><url>https://github.com/CR-Gjx/Suspicion-Agent</url><description>Paper on imperfect information games</description></resource>
  <resource slug="awesome-swe-agent" kind="agent-framework"><name>SWE Agent</name><url>https://github.com/princeton-nlp/SWE-agent</url><description>Open-source Devin alternative</description></resource>
  <resource slug="awesome-sweep" kind="agent-framework"><name>Sweep</name><url>https://sweep.dev/</url><description>Github assistant that fixes issues &amp; writes code</description></resource>
  <resource slug="awesome-taxy-ai" kind="agent-framework"><name>Taxy AI</name><url>https://github.com/TaxyAI/browser-extension</url><description>Taxy AI is a full browser automation</description></resource>
  <resource slug="awesome-teenage-agi" kind="agent-framework"><name>Teenage AGI</name><url>https://github.com/seanpixel/Teenage-AGI/blob/main/README.md</url><description>BabyAGI-inspired agent, can recall infinite memory</description></resource>
  <resource slug="awesome-ufo" kind="agent-framework"><name>UFO</name><url>https://github.com/microsoft/UFO</url><description>A UI-Focused agent on Windows OS</description></resource>
  <resource slug="awesome-vanna-ai" kind="agent-framework"><name>Vanna.AI</name><url>https://vanna.ai/</url><description>Python-based AI SQL agent trained on your schema</description></resource>
  <resource slug="awesome-voyager" kind="agent-framework"><name>Voyager</name><url>https://voyager.minedojo.org/</url><description>LLM-powered lifelong learning agent in Minecraft</description></resource>
  <resource slug="awesome-web3-gpt" kind="agent-framework"><name>Web3 GPT</name><url>https://w3gpt.ai/</url><description>Write &amp; deploy smart contracts to EVM blockchains</description></resource>
  <resource slug="awesome-workgpt" kind="agent-framework"><name>WorkGPT</name><url>https://github.com/team-openpm/workgpt</url><description>GPT agent framework for invoking APIs</description></resource>
  <resource slug="awesome-wren" kind="agent-framework"><name>Wren</name><url>https://www.getwren.ai/</url><description>Natural Language Interface to Your Databases</description></resource>
  <resource slug="awesome-xagent" kind="agent-framework"><name>XAgent</name><url>https://github.com/OpenBMB/XAgent</url><description>Experimental LLM agent that solves various tasks</description></resource>
  <resource slug="awesome-yagents" kind="agent-framework"><name>yAgents</name><url>https://github.com/yeagerai/yeagerai-agent</url><description>Capable of designing, coding and debugging tools</description></resource>
  <resource slug="awesome-yourgoal" kind="agent-framework"><name>Yourgoal</name><url>https://github.com/pj4533/yourgoal/</url><description>Swift implementation of BabyAGI</description></resource>
  <resource slug="awesome-ability-ai" kind="agent-framework"><name>Ability AI</name><url>https://ability.ai/</url><description>Secure, People-Centric Autonomous AI Agents</description></resource>
  <resource slug="awesome-adept-ai" kind="agent-framework"><name>Adept AI</name><url>https://www.adept.ai/</url><description>ML research and product lab building intelligence</description></resource>
  <resource slug="awesome-agents-inc" kind="agent-framework"><name>AGENTS.inc</name><url>https://www.agents.inc/</url><description>Agents for company/regulations, search&amp;monitoring</description></resource>
  <resource slug="awesome-agentscale" kind="agent-framework"><name>AgentScale</name><url>https://agentscale.ai/</url><description>Your assistant, email writer, calendar scheduler</description></resource>
  <resource slug="awesome-aide-by-codestory" kind="agent-framework"><name>Aide by Codestory</name><url>https://codestory.ai/</url><description>AI code interpreter, AI-powered mod of VSCode</description></resource>
  <resource slug="awesome-ailaflow" kind="agent-framework"><name>AilaFlow</name><url>https://ailaflow.com</url><description>No-code platform for building AI agents</description></resource>
  <resource slug="awesome-airkit-ai" kind="agent-framework"><name>Airkit.ai</name><url>https://www.airkit.ai</url><description>Platform for building, testing, deploying Agents</description></resource>
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  <resource slug="lancedb" kind="ai-library" stars="11899"><name>LanceDB</name><url>https://lancedb.com</url><description>Serverless embedded vector DB.</description></resource>
  <resource slug="openai-node" kind="ai-library" stars="11262"><name>openai-node</name><url>https://github.com/openai/openai-node</url><description>Official OpenAI TS SDK.</description></resource>
  <resource slug="voltagent" kind="ai-library" stars="10978"><name>VoltAgent</name><url>https://voltagent.dev</url><description>TS multi-agent framework.</description></resource>
  <resource slug="gguf-lib" kind="ai-library" stars="10677"><name>llama-cpp-python</name><url>https://llama-cpp-python.readthedocs.io</url><description>llama.cpp's Python bindings.</description></resource>
  <resource slug="langchaingo" kind="ai-library" stars="9778"><name>langchaingo</name><url>https://github.com/tmc/langchaingo</url><description>LangChain for Go.</description></resource>
  <resource slug="spring-ai" kind="ai-library" stars="9647"><name>Spring AI</name><url>https://spring.io/projects/spring-ai</url><description>AI applications on Spring.</description></resource>
  <resource slug="rig" kind="ai-library" stars="9145"><name>rigging</name><url>https://github.com/0xPlaygrounds/rig</url><description>Rust LLM app framework.</description></resource>
  <resource slug="sqlite-vec" kind="ai-library" stars="8262"><name>sqlite-vec</name><url>https://github.com/asg017/sqlite-vec</url><description>Vector search inside SQLite.</description></resource>
  <resource slug="bertopic" kind="ai-library" stars="7957"><name>BERTopic</name><url>https://maartengr.github.io/BERTopic</url><description>Neural topic modeling.</description></resource>
  <resource slug="mistral-rs" kind="ai-library" stars="7837"><name>mistral.rs</name><url>https://github.com/EricLBuehler/mistral.rs</url><description>Rust local LLM inference.</description></resource>
  <resource slug="guardrails-ai" kind="ai-library" stars="7608"><name>Guardrails AI</name><url>https://www.guardrailsai.com</url><description>LLM output validation + rails.</description></resource>
  <resource slug="vespa" kind="ai-library" stars="7180"><name>Vespa</name><url>https://vespa.ai</url><description>Big-data serving + vector search.</description></resource>
  <resource slug="postgresml" kind="ai-library" stars="6832"><name>PostgresML</name><url>https://postgresml.org</url><description>ML inside Postgres (embed + infer).</description></resource>
  <resource slug="genkit" kind="ai-library" stars="6588"><name>Genkit</name><url>https://genkit.dev</url><description>Google's AI app framework.</description></resource>
  <resource slug="helicone" kind="ai-library" stars="6280"><name>Helicone</name><url>https://helicone.ai</url><description>LLM observability proxy.</description></resource>
  <resource slug="openai-php" kind="ai-library" stars="5837"><name>openai-php</name><url>https://github.com/openai-php/client</url><description>OpenAI PHP client.</description></resource>
  <resource slug="marqo" kind="ai-library" stars="5024"><name>Marqo</name><url>https://marqo.ai</url><description>Tensor search engine.</description></resource>
  <resource slug="exllamav2" kind="ai-library" stars="4651"><name>ExLlamaV2</name><url>https://github.com/turboderp-org/exllamav2</url><description>Fast local inference kernels.</description></resource>
  <resource slug="cognita" kind="ai-library" stars="4409"><name>Cognita</name><url>https://github.com/truefoundry/cognita</url><description>TrueFoundry's RAG framework + UI.</description></resource>
  <resource slug="anthropic-sdk-python" kind="ai-library" stars="4075"><name>anthropic-sdk-python</name><url>https://github.com/anthropics/anthropic-sdk-python</url><description>Official Anthropic Python SDK.</description></resource>
  <resource slug="fastembed" kind="ai-library" stars="3294"><name>FastEmbed</name><url>https://qdrant.github.io/fastembed</url><description>Fast quantized embeddings (Qdrant).</description></resource>
  <resource slug="kalosm" kind="ai-library" stars="2237"><name>Kalosm</name><url>https://github.com/floneum/kalosm</url><description>Rust local AI (embed, transcribe, generate).</description></resource>
  <resource slug="langchainrb" kind="ai-library" stars="2008"><name>LangChain.rb</name><url>https://github.com/patterns-ai-core/langchainrb</url><description>LangChain for Ruby.</description></resource>
  <resource slug="llm-chain" kind="ai-library" stars="1602"><name>llm-chain</name><url>https://github.com/sobelio/llm-chain</url><description>Rust LLM chains.</description></resource>
  <resource slug="qdrant-client-py" kind="ai-library" stars="1378"><name>qdrant-client</name><url>https://github.com/qdrant/qdrant-client</url><description>Qdrant's Python client.</description></resource>
  <resource slug="semantic-kernel-java" kind="ai-library" stars="279"><name>Semantic Kernel Java</name><url>https://github.com/microsoft/semantic-kernel-java</url><description>SK for Java.</description></resource>
  <resource slug="pinecone" kind="ai-library"><name>Pinecone</name><url>https://pinecone.io</url><description>Managed vector database.</description></resource>
  <resource slug="turbopuffer" kind="ai-library"><name>turbopuffer</name><url>https://turbopuffer.com</url><description>Serverless vector search.</description></resource>
  <resource slug="jina-embeddings" kind="ai-library"><name>Jina Embeddings</name><url>https://jina.ai/embeddings</url><description>Long-context embedding models.</description></resource>
  <resource slug="langsmith" kind="ai-library"><name>LangSmith</name><url>https://smith.langchain.com</url><description>LangChain's observability platform.</description></resource>
  <resource slug="zvec" kind="ai-library"><name>zvec</name><url>https://github.com/zvec-ai/zvec</url><description>Embedded vector DB (Zilliz).</description></resource>
  <resource slug="dots" kind="always-on-agent"><name>dots (OpenAI)</name><url>https://openai.com/index/introducing-dots/</url><description>OpenAI's always-on agents on GPT-6 Astra: each dot has its own cloud computer and Chrome browser, reaches 4,000+ apps through plugins and works 24/7. First dot included in Pro and Business Premium (Pro excludes the EEA, Switzerland and the UK at launch).</description></resource>
  <resource slug="muse" kind="always-on-agent"><name>Muse (Meta)</name><url>https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent/</url><description>Meta's personal AI agent, run on a dedicated Muse Secure VM and used through the Muse app and WhatsApp. US-only at launch, free for most uses with paid plans; a Mac app and an iPad app followed.</description></resource>
  <resource slug="claude-duet" kind="always-on-agent"><name>Claude Duet (Anthropic)</name><url>https://claude.com/resources/articles/claude-duet</url><description>Anthropic's proactive agent you message like a person: a morning brief, tasks that continue on its own cloud computer and browser, and approval before it sends, pays, signs or deletes. Research preview on iOS, Android and claude.ai for Pro and Max in the US, by waitlist; runs on Claude Opus 5.5.</description></resource>
  <resource slug="grok-bot" kind="always-on-agent"><name>Grok Bot (xAI)</name><url>https://x.ai/news/introducing-grok-bot</url><description>xAI's bots that share a cloud computer and are messaged like colleagues. Beta on desktop and iOS for listed SuperGrok and Cursor plans; enterprise users join a waitlist.</description></resource>
  <resource slug="gemini-spark" kind="always-on-agent"><name>Gemini Spark (Google)</name><url>https://gemini.google/overview/agent/spark/</url><description>Google's agent that works in the background around the clock, even with your phone and laptop off. For Google AI Pro and Ultra subscribers aged 18+ in select countries and select business users.</description></resource>
  <resource slug="microsoft-autopilot" kind="always-on-agent"><name>Autopilot (Microsoft, formerly Scout)</name><url>https://www.microsoft.com/en-us/copilot/blog/2026/06/02/introducing-microsoft-scout-your-always-on-personal-agent/</url><description>Microsoft's always-on agent with its own Entra identity, working across Teams, Outlook, OneDrive and SharePoint. Introduced as Scout at Build on 2 June 2026 and renamed Autopilot in September; powered by OpenClaw open-source technology; experimental release for Frontier organizations and private preview customers, no published price.</description></resource>
  <resource slug="manus-cue" kind="always-on-agent"><name>Cue (Manus)</name><url>https://manus.im</url><description>Manus's early-access personal-agent app, announced with Manus 2.0 on 28 September 2026: each Cue agent gets its own email address, phone number, wallet and computer. Invite-based early access.</description></resource>
  <resource slug="hark" kind="always-on-agent"><name>Hark Pro (Hark)</name><url>https://hark.com</url><description>Hark's personal intelligence system with Handoff, a computer-use agent that can navigate any website and complete tasks end-to-end in its own secure cloud computer. Available on iOS, Android and web for free with a subscription tier for heavy users; end-to-end encryption for logins and payments.</description></resource>
  <resource slug="firecrawl" kind="api-service" stars="201720"><name>Firecrawl</name><url>https://firecrawl.dev</url><description>Scrape → clean markdown for agents.</description></resource>
  <resource slug="postiz" kind="api-service" stars="41584"><name>Postiz</name><url>https://postiz.com</url><description>Open social-media scheduler + agents.</description></resource>
  <resource slug="tavily" kind="api-service" stars="1430"><name>Tavily</name><url>https://tavily.com</url><description>Search API built for agents.</description></resource>
  <resource slug="exa" kind="api-service" stars="239"><name>Exa</name><url>https://exa.ai</url><description>Neural search API for agents.</description></resource>
  <resource slug="github" kind="api-service"><name>GitHub</name><url>https://github.com</url><description>The code host everything indexes against — API, Models, Copilot, Actions.</description></resource>
  <resource slug="agentmail" kind="api-service"><name>AgentMail</name><url>https://agentmail.to</url><description>Email inboxes for agents.</description></resource>
  <resource slug="t3rnel-browser" kind="browser-agent"><name>T3rnel Browser</name><url>https://chromewebstore.google.com/detail/t3rnel-browser/egpckhdpkoeimoekciejbmbbcackhdmd</url><description>Real-browser MCP extension — automation with the user's real profile.</description></resource>
  <resource slug="zernio" kind="api-service"><name>Zernio</name><url>https://zernio.com</url><description>Social publishing API.</description></resource>
  <resource slug="brave-search-api" kind="api-service"><name>Brave Search API</name><url>https://brave.com/search/api</url><description>Independent web search API.</description></resource>
  <resource slug="serpapi" kind="api-service"><name>SerpApi</name><url>https://serpapi.com</url><description>Search-engine results API.</description></resource>
  <resource slug="composio" kind="api-service"><name>Composio</name><url>https://composio.dev</url><description>Tool integrations for agents.</description></resource>
  <resource slug="arcade" kind="api-service"><name>Arcade.dev</name><url>https://arcade.dev</url><description>Agent tool-calling platform + auth.</description></resource>
  <resource slug="resend" kind="api-service"><name>Resend</name><url>https://resend.com</url><description>Developer email API.</description></resource>
  <resource slug="twilio" kind="api-service"><name>Twilio</name><url>https://twilio.com</url><description>SMS/voice/WhatsApp APIs.</description></resource>
  <resource slug="hf-openllm-leaderboard" kind="api-service"><name>HF Open LLM Leaderboard</name><url>https://huggingface.co/spaces/open-llm-leaderboard</url><description>The canonical open-model benchmark board.</description></resource>
  <resource slug="lmarena" kind="api-service"><name>LMArena</name><url>https://lmarena.ai</url><description>Crowd-voted model arena.</description></resource>
  <resource slug="livebench" kind="api-service"><name>LiveBench</name><url>https://livebench.ai</url><description>Contamination-resistant benchmarks.</description></resource>
  <resource slug="camel-ai" kind="autonomous-agent|agent-framework" stars="18031"><name>CAMEL-AI</name><url>https://www.camel-ai.org</url><description>Multi-agent framework for agent societies.</description></resource>
  <resource slug="agent-s" kind="autonomous-agent|browser-agent" stars="12970"><name>Agent-S</name><url>https://github.com/simular-ai/Agent-S</url><description>Simular's computer-use agent.</description></resource>
  <resource slug="claude-execute" kind="autonomous-agent" stars="122"><name>claude-execute</name><url>https://github.com/vaughanf1/claude-execute</url><description>Claude + TradingView + BitGet trading bot.</description></resource>
  <resource slug="solvent-agent" kind="autonomous-agent" stars="114"><name>solvent-agent</name><url>https://github.com/ianalloway/solvent-agent</url><description>Solvent agent experiments.</description></resource>
  <resource slug="manus" kind="autonomous-agent"><name>Manus</name><url>https://manus.im</url><description>Fully autonomous general agent.</description></resource>
  <resource slug="suna" kind="autonomous-agent"><name>Suna</name><url>https://suna.so</url><description>Open Manus-style generalist agent (self-hostable).</description></resource>
  <resource slug="browser-use" kind="browser-agent" stars="120997"><name>browser-use</name><url>https://browser-use.com</url><description>Python browser automation for agents.</description></resource>
  <resource slug="agent-reach" kind="browser-agent" stars="111719"><name>Agent-Reach</name><url>https://github.com/Panniantong/Agent-Reach</url><description>Agent reach/outreach tooling.</description></resource>
  <resource slug="agent-browser" kind="browser-agent" stars="51009"><name>Agent Browser</name><url>https://github.com/vercel-labs/agent-browser</url><description>Vercel's browser automation CLI for agents.</description></resource>
  <resource slug="page-agent" kind="browser-agent" stars="29687"><name>PageAgent</name><url>https://github.com/alibaba/page-agent</url><description>Alibaba UI agent for web applications.</description></resource>
  <resource slug="stagehand" kind="browser-agent" stars="26049"><name>Stagehand</name><url>https://stagehand.dev</url><description>AI-native browser automation SDK (Browserbase).</description></resource>
  <resource slug="skyvern" kind="browser-agent" stars="23417"><name>Skyvern</name><url>https://skyvern.com</url><description>LLM-driven browser agent with captcha solving.</description></resource>
  <resource slug="nanobrowser" kind="browser-agent" stars="14302"><name>Nanobrowser</name><url>https://nanobrowser.ai</url><description>AI web-automation Chrome extension.</description></resource>
  <resource slug="browserless" kind="browser-agent" stars="13929"><name>Browserless</name><url>https://browserless.io</url><description>Headless browser as a service.</description></resource>
  <resource slug="camoufox" kind="browser-agent" stars="13263"><name>Camoufox</name><url>https://camoufox.com</url><description>Anti-detect Firefox for automation.</description></resource>
  <resource slug="undetected-chromedriver" kind="browser-agent" stars="12907"><name>undetected-chromedriver</name><url>https://github.com/ultrafunkamsterdam/undetected-chromedriver</url><description>Classic undetected Chrome driver.</description></resource>
  <resource slug="mcp-chrome" kind="browser-agent|mcp-server" stars="12544"><name>mcp-chrome</name><url>https://github.com/hangwin/mcp-chrome</url><description>Chrome automation via MCP.</description></resource>
  <resource slug="steel-browser" kind="browser-agent" stars="7963"><name>Steel Browser</name><url>https://steel.dev</url><description>Open browser API for agents (anti-detect, hosted).</description></resource>
  <resource slug="browser-mcp" kind="browser-agent|mcp-server" stars="7357"><name>BrowserMCP</name><url>https://browsermcp.io</url><description>Browser automation via MCP.</description></resource>
  <resource slug="lavague" kind="browser-agent" stars="6397"><name>LaVague</name><url>https://www.lavague.ai</url><description>Web agent framework for browser tasks.</description></resource>
  <resource slug="patchright" kind="browser-agent" stars="5182"><name>Patchright</name><url>https://github.com/Kaliiiiiiiiii-Vinyzu/patchright</url><description>Undetected Playwright/Puppeteer patch.</description></resource>
  <resource slug="nodriver" kind="browser-agent" stars="4938"><name>nodriver</name><url>https://github.com/ultrafunkamsterdam/nodriver</url><description>Undetected async Chrome driver.</description></resource>
  <resource slug="playwright-stealth" kind="browser-agent" stars="990"><name>playwright-stealth</name><url>https://github.com/AtuboDad/playwright_stealth</url><description>Stealth patches for Playwright.</description></resource>
  <resource slug="open-browser-use" kind="browser-agent" stars="422"><name>Open Browser Use</name><url>https://github.com/iFurySt/open-browser-use</url><description>Browser-use as a Chrome extension + SDK.</description></resource>
  <resource slug="browserbase" kind="browser-agent"><name>Browserbase</name><url>https://browserbase.com</url><description>Hosted headless browsers for agents.</description></resource>
  <resource slug="hyperbrowser" kind="browser-agent"><name>Hyperbrowser</name><url>https://hyperbrowser.ai</url><description>Agent browser cloud + captcha solving.</description></resource>
  <resource slug="anchorbrowser" kind="browser-agent"><name>Anchor Browser</name><url>https://anchorbrowser.io</url><description>AI-native browser cloud.</description></resource>
  <resource slug="bright-data" kind="browser-agent|api-service"><name>Bright Data</name><url>https://brightdata.com</url><description>Web scraping infra + unblocking browser.</description></resource>
  <resource slug="scrapfly" kind="browser-agent|api-service"><name>Scrapfly</name><url>https://scrapfly.io</url><description>Anti-block scraping API.</description></resource>
  <resource slug="scrapingbee" kind="browser-agent|api-service"><name>ScrapingBee</name><url>https://scrapingbee.com</url><description>Scraping API with headless browser.</description></resource>
  <resource slug="oxylabs" kind="browser-agent|api-service"><name>Oxylabs</name><url>https://oxylabs.io</url><description>Proxies + unblocking scraping APIs.</description></resource>
  <resource slug="vercel" kind="build-platform" stars="143511"><name>Vercel</name><url>https://vercel.com</url><description>Frontend cloud + serverless.</description></resource>
  <resource slug="supabase" kind="build-platform" stars="115011"><name>Supabase</name><url>https://supabase.com</url><description>Postgres backend-as-a-service.</description></resource>
  <resource slug="coolify" kind="build-platform" stars="66069"><name>Coolify</name><url>https://coolify.io</url><description>Self-hosted Heroku alternative.</description></resource>
  <resource slug="dokploy" kind="build-platform" stars="38502"><name>Dokploy</name><url>https://dokploy.com</url><description>Self-hosted PaaS.</description></resource>
  <resource slug="caprover" kind="build-platform" stars="15205"><name>CapRover</name><url>https://caprover.com</url><description>Self-hosted app platform.</description></resource>
  <resource slug="cloudflare-workers" kind="build-platform" stars="4728"><name>Cloudflare Workers + Pages</name><url>https://workers.cloudflare.com</url><description>Edge compute + static hosting; this product runs on it.</description></resource>
  <resource slug="convex" kind="build-platform" stars="119"><name>Convex</name><url>https://convex.dev</url><description>Reactive backend for apps.</description></resource>
  <resource slug="replit" kind="build-platform"><name>Replit</name><url>https://replit.com</url><description>Browser IDE + hosting + agent.</description></resource>
  <resource slug="netlify" kind="build-platform"><name>Netlify</name><url>https://netlify.com</url><description>Static + functions hosting.</description></resource>
  <resource slug="railway" kind="build-platform"><name>Railway</name><url>https://railway.app</url><description>Simple full-stack deploys.</description></resource>
  <resource slug="flyio" kind="build-platform"><name>Fly.io</name><url>https://fly.io</url><description>Global container hosting.</description></resource>
  <resource slug="render" kind="build-platform"><name>Render</name><url>https://render.com</url><description>Managed web services + workers.</description></resource>
  <resource slug="deno-deploy" kind="build-platform"><name>Deno Deploy</name><url>https://deno.com/deploy</url><description>Edge functions for Deno.</description></resource>
  <resource slug="val-town" kind="build-platform"><name>Val Town</name><url>https://val.town</url><description>Serverless functions as public snippets.</description></resource>
  <resource slug="hf-spaces" kind="build-platform"><name>HuggingFace Spaces</name><url>https://huggingface.co/spaces</url><description>Free ML app hosting.</description></resource>
  <resource slug="modal" kind="build-platform"><name>Modal</name><url>https://modal.com</url><description>Serverless GPU/CPU compute.</description></resource>
  <resource slug="google-ai-studio-apps" kind="build-platform"><name>Google AI Studio build</name><url>https://aistudio.google.com</url><description>Prompt-to-app generation on Gemini.</description></resource>
  <resource slug="azure-ai-foundry" kind="build-platform"><name>Azure AI Foundry</name><url>https://ai.azure.com</url><description>Microsoft's AI app platform.</description></resource>
  <resource slug="vertex-agent-builder" kind="build-platform"><name>Vertex AI Agent Builder</name><url>https://cloud.google.com/products/agent-builder</url><description>GCP agent platform.</description></resource>
  <resource slug="lane-bowyer" kind="business-storefront"><name>BOWYER Autonomous Businesses</name><url>https://bowyer.app</url><description>Live autonomous-business marketplace where creators launch paid MCP businesses and receive subscriptions directly to a wallet.</description></resource>
  <resource slug="openclaw" kind="claw-system" stars="394436"><name>OpenClaw</name><url>https://github.com/openclaw/openclaw</url><description>Multi-channel AI gateway + messaging integrations.</description></resource>
  <resource slug="hermes-agent" kind="claw-system" stars="263312"><name>Hermes Agent</name><url>https://github.com/nousresearch/hermes-agent</url><description>NousResearch agent with flexible toolset.</description></resource>
  <resource slug="claw-code" kind="claw-system|coding-harness" stars="194781"><name>Claw Code</name><url>https://github.com/ultraworkers/claw-code</url><description>Agentic coding with Claw.</description></resource>
  <resource slug="picoclaw" kind="claw-system" stars="30131"><name>PicoClaw</name><url>https://github.com/sipeed/picoclaw</url><description>Embedded claw agent runtime.</description></resource>
  <resource slug="openfang" kind="claw-system" stars="18251"><name>OpenFang</name><url>https://github.com/RightNow-AI/openfang</url><description>Open agent framework + runtime.</description></resource>
  <resource slug="memanto" kind="claw-system" stars="2373"><name>memanto</name><url>https://github.com/moorcheh-ai/memanto</url><description>Agent memory tooling.</description></resource>
  <resource slug="opencode" kind="coding-harness" stars="226801"><name>OpenCode</name><url>https://opencode.ai</url><description>Open terminal coding agent (sst).</description></resource>
  <resource slug="codex-cli" kind="coding-harness|ide-plugin" stars="135260"><name>OpenAI Codex</name><url>https://github.com/openai/codex</url><description>OpenAI's CLI coding agent.</description></resource>
  <resource slug="gemini-cli" kind="coding-harness" stars="108824"><name>Gemini CLI</name><url>https://github.com/google-gemini/gemini-cli</url><description>Google's terminal agent.</description></resource>
  <resource slug="openhands" kind="coding-harness|autonomous-agent" stars="93462"><name>OpenHands</name><url>https://github.com/All-Hands-AI/OpenHands</url><description>Open dev-agent platform (ex-OpenDevin).</description></resource>
  <resource slug="ruflo" kind="coding-harness|agent-framework" stars="81678"><name>Ruflo</name><url>https://github.com/ruvnet/ruflo</url><description>Enterprise agent orchestration for Claude Code — 60+ agents.</description></resource>
  <resource slug="free-claude-code" kind="coding-harness" stars="70106"><name>Free Claude Code</name><url>https://github.com/alishahryar1/free-claude-code</url><description>Free Claude-Code-style agent.</description></resource>
  <resource slug="goose" kind="coding-harness" stars="56601"><name>Goose</name><url>https://block.github.io/goose</url><description>Block's open agentic developer tool.</description></resource>
  <resource slug="aider" kind="coding-harness" stars="50119"><name>Aider</name><url>https://aider.chat</url><description>Terminal pair-programming agent.</description></resource>
  <resource slug="openviking" kind="coding-harness" stars="42229"><name>OpenViking</name><url>https://github.com/volcengine/OpenViking</url><description>Volcengine open agent.</description></resource>
  <resource slug="qwen-code" kind="coding-harness" stars="30183"><name>Qwen Code</name><url>https://github.com/QwenLM/qwen-code</url><description>Alibaba's coding agent CLI.</description></resource>
  <resource slug="jcode" kind="coding-harness" stars="21764"><name>jCode</name><url>https://github.com/1jehuang/jcode</url><description>Lightweight agentic code tool.</description></resource>
  <resource slug="supercli" kind="coding-harness" stars="256"><name>supercli</name><url>https://github.com/yashdev9274/supercli</url><description>AI-powered SWE agent platform.</description></resource>
  <resource slug="devin" kind="coding-harness|autonomous-agent"><name>Devin</name><url>https://devin.ai</url><description>Autonomous software engineer (Cognition).</description></resource>
  <resource slug="claude-code" kind="coding-harness"><name>Claude Code</name><url>https://claude.ai/code</url><description>Anthropic's terminal agent.</description></resource>
  <resource slug="grok-build" kind="coding-harness"><name>Grok Build</name><url>https://x.ai</url><description>xAI's agentic coding surface.</description></resource>
  <resource slug="deepseek-harness" kind="coding-harness"><name>DeepSeek harness</name><url>https://github.com/deepseek-ai</url><description>DeepSeek agent harness/tooling.</description></resource>
  <resource slug="bitcoin" kind="crypto-currency"><name>Bitcoin</name><url>https://bitcoin.org</url><description>The original chain — store of value.</description></resource>
  <resource slug="ethereum" kind="crypto-currency"><name>Ethereum</name><url>https://ethereum.org</url><description>Smart-contract L1.</description></resource>
  <resource slug="solana" kind="crypto-currency"><name>Solana</name><url>https://solana.com</url><description>High-throughput L1 — agent trading's home chain.</description></resource>
  <resource slug="near" kind="crypto-currency"><name>NEAR Protocol</name><url>https://near.org</url><description>Agent-oriented chain with a jobs market.</description></resource>
  <resource slug="base" kind="crypto-currency"><name>Base</name><url>https://base.org</url><description>Coinbase's Ethereum L2 — x402's home rail.</description></resource>
  <resource slug="usdc" kind="crypto-currency"><name>USDC</name><url>https://www.circle.com/usdc</url><description>The stablecoin most agent work settles in.</description></resource>
  <resource slug="ton" kind="crypto-currency"><name>TON</name><url>https://ton.org</url><description>Telegram's chain — agent channels live there.</description></resource>
  <resource slug="polygon-matic" kind="crypto-currency"><name>Polygon</name><url>https://polygon.technology</url><description>Ethereum scaling — Polymarket's home.</description></resource>
  <resource slug="bnb" kind="crypto-currency"><name>BNB Chain</name><url>https://bnbchain.org</url><description>Binance's chain.</description></resource>
  <resource slug="laya" kind="decision-model" stars="35518"><name>Laya (Convai Innovations)</name><url>https://github.com/NandhaKishorM/laya</url><description>Open, non-autoregressive decision engine: typed choice, score and yes/no decisions in a single forward pass, 100+ languages, with a router that picks the checkpoint per request. Apache-2.0; runs on your own hardware (33 ms for one question on a T4).</description></resource>
  <resource slug="kev" kind="decision-model" stars="9981"><name>Kev (Jared Palmer)</name><url>https://github.com/jaredpalmer/kev</url><description>A family of small self-hosted decision models built on Qwen3.5 (0.8B, 4B and 9B) with training code and an API that matches TypeSafe's System One, so TypeSafe's own SDK can point at a local server. Apache-2.0.</description></resource>
  <resource slug="jev" kind="decision-model"><name>Jev (TypeSafe AI)</name><url>https://typesafe.ai</url><description>The model that defined the category: TypeSafe's hosted System One decision model. One POST to /v1/systemone with a state and typed questions returns calibrated probabilities. Jev 1.14 (jev-1.14.0) has been available since 14 October 2026; text input, closed weights.</description></resource>
  <resource slug="clef" kind="decision-model"><name>Clef (Cloudflare)</name><url>https://blog.cloudflare.com/clef-decision-models/</url><description>Cloudflare's open decision models Clef and Clef-flash (Clef-omni adds audio and video), hosted on Workers AI and released as Apache-2.0 weights. Drop-in compatible with Jev's System One API; Cloudflare reports Clef 2.5x and Clef-flash 13x faster than Jev at the median. Clef-flash costs $0.038 per 1M input tokens.</description></resource>
  <resource slug="pplx-decider" kind="decision-model"><name>pplx-decider (Perplexity)</name><url>https://docs.perplexity.ai/docs/decisions/quickstart</url><description>Perplexity's Decisions API: pplx-decider-v1.2 (27B, $0.02 per 1M input tokens) and pplx-decider-flash-v1.2 (4B, $0.01). Text and image input, 256K context; the flash model also runs locally in Decider for Mac.</description></resource>
  <resource slug="openai-decisions-api" kind="decision-model"><name>Decisions API (OpenAI)</name><url>https://openai.com/index/decisions-api/</url><description>OpenAI's Decisions API, generally available 22 October 2026 on GPT-6 Luna: predicate, choice and score questions over text, images and JSON, up to 400 questions per request, $0.10 per 1M input tokens ($0.01 cached). Its own request shape, not Jev's.</description></resource>
  <resource slug="liquid-d1" kind="decision-model"><name>d1 (Liquid AI)</name><url>https://www.liquid.ai/blog/d1-decision-model</url><description>Liquid AI's decision-model family: hosted d1.1 and d1-ultra (text and images) over the Liquid API, plus open-weight d1-3B and d1-omni-600M (text with image or audio) for local and edge use under the LFM Open License. Uses Jev's request shape.</description></resource>
  <resource slug="microsoft-decision-1" kind="decision-model"><name>Microsoft-Decision-1</name><url>https://commandline.microsoft.com/microsoft-decision-1-model-foundry/</url><description>Microsoft's decision-scoring model, post-trained from Qwen3.5-9B, in public preview in Microsoft Foundry and on OpenRouter. $0.042 per 1M input tokens, matching Jev; Microsoft says it will be rebased on MAI and OpenAI models.</description></resource>
  <resource slug="fastino-glide" kind="decision-model"><name>GLiDE (Fastino)</name><url>https://fastino.ai/blog/decision-models-explained</url><description>Fastino's Generalized Lightweight Decision Engine: a hosted API using the same state-and-questions format as Jev, which reasons further only when its first estimate is uncertain. Fastino's open GLiNER2.5-Decide is a compact English classifier under Apache-2.0.</description></resource>
  <resource slug="deriv" kind="finance-brokerage"><name>Deriv</name><url>https://deriv.com</url><description>Trading API incl. bot trading (synthetics, forex).</description></resource>
  <resource slug="alpaca" kind="finance-brokerage"><name>Alpaca</name><url>https://alpaca.markets</url><description>Commission-free stock/crypto trading API.</description></resource>
  <resource slug="polygon" kind="finance-brokerage"><name>Polygon.io</name><url>https://polygon.io</url><description>Market data API.</description></resource>
  <resource slug="interactive-brokers" kind="finance-brokerage"><name>Interactive Brokers</name><url>https://interactivebrokers.com</url><description>Global multi-asset brokerage API.</description></resource>
  <resource slug="binance" kind="finance-exchange"><name>Binance</name><url>https://binance.com</url><description>Largest crypto exchange API.</description></resource>
  <resource slug="coinbase" kind="finance-exchange"><name>Coinbase Advanced</name><url>https://coinbase.com</url><description>US exchange API.</description></resource>
  <resource slug="okx" kind="finance-exchange"><name>OKX</name><url>https://okx.com</url><description>Exchange API + agent service platform.</description></resource>
  <resource slug="kraken" kind="finance-exchange"><name>Kraken</name><url>https://kraken.com</url><description>Exchange API.</description></resource>
  <resource slug="kucoin" kind="finance-exchange"><name>KuCoin</name><url>https://kucoin.com</url><description>Wide-alt exchange API.</description></resource>
  <resource slug="bybit" kind="finance-exchange"><name>Bybit</name><url>https://bybit.com</url><description>Derivatives-focused exchange API.</description></resource>
  <resource slug="gate-io" kind="finance-exchange"><name>Gate.io</name><url>https://gate.io</url><description>Long-tail alt exchange API.</description></resource>
  <resource slug="mexc" kind="finance-exchange"><name>MEXC</name><url>https://mexc.com</url><description>Alt-listing exchange API.</description></resource>
  <resource slug="deribit" kind="finance-exchange"><name>Deribit</name><url>https://deribit.com</url><description>Crypto options + futures exchange API.</description></resource>
  <resource slug="openrouter-free" kind="free-api-keys"><name>OpenRouter free pool</name><url>https://openrouter.ai/models?max_price=0</url><description>Free models on OpenRouter's unified API.</description></resource>
  <resource slug="github-models-free" kind="free-api-keys"><name>GitHub Models</name><url>https://github.com/marketplace/models</url><description>Free model playground + API for GitHub accounts.</description></resource>
  <resource slug="ai-studio-free" kind="free-api-keys"><name>Google AI Studio free tier</name><url>https://aistudio.google.com</url><description>Free Gemini API keys with a real daily quota.</description></resource>
  <resource slug="groq-free" kind="free-api-keys"><name>Groq free tier</name><url>https://console.groq.com</url><description>Free LPU inference on open models.</description></resource>
  <resource slug="mistral-free" kind="free-api-keys"><name>Mistral free experiment tier</name><url>https://console.mistral.ai</url><description>Free La Plateforme experiment tier.</description></resource>
  <resource slug="cerebras-free" kind="free-api-keys"><name>Cerebras free tier</name><url>https://cloud.cerebras.ai</url><description>Free wafer-scale inference keys.</description></resource>
  <resource slug="nvidia-nim-free" kind="free-api-keys"><name>NVIDIA NIM free credits</name><url>https://build.nvidia.com</url><description>Free hosted open-model endpoints.</description></resource>
  <resource slug="freellmapi-service" kind="free-api-keys"><name>FreeLLMAPI</name><url>https://freellmapi.co</url><description>Community free-model aggregation (~370 models, 24 providers).</description></resource>
  <resource slug="together-free" kind="free-api-keys"><name>Together AI free endpoints</name><url>https://together.ai</url><description>Free open-model inference endpoints.</description></resource>
  <resource slug="fireworks-free" kind="free-api-keys"><name>Fireworks free tier</name><url>https://fireworks.ai</url><description>Free fast open-model inference.</description></resource>
  <resource slug="sambanova-free" kind="free-api-keys"><name>SambaNova free cloud</name><url>https://cloud.sambanova.ai</url><description>Free RDU inference keys.</description></resource>
  <resource slug="hyperbolic-free" kind="free-api-keys"><name>Hyperbolic free tier</name><url>https://hyperbolic.xyz</url><description>Free cheap GPU inference.</description></resource>
  <resource slug="novita-free" kind="free-api-keys"><name>Novita free credits</name><url>https://novita.ai</url><description>Free serverless GPU credits.</description></resource>
  <resource slug="zai-glm-free" kind="free-api-keys"><name>Z.ai GLM free tier</name><url>https://z.ai</url><description>Free GLM model endpoints.</description></resource>
  <resource slug="dashscope-free" kind="free-api-keys"><name>Alibaba DashScope free quota</name><url>https://dashscope.aliyun.com</url><description>Free Qwen endpoint quota.</description></resource>
  <resource slug="ollama-cloud-free" kind="free-api-keys"><name>Ollama Cloud free tier</name><url>https://ollama.com/cloud</url><description>Free Ollama-compatible hosted inference.</description></resource>
  <resource slug="cloudflare-ai-free" kind="free-api-keys"><name>Cloudflare Workers AI free tier</name><url>https://workers.cloudflare.com</url><description>Free edge inference on Workers.</description></resource>
  <resource slug="pollinations" kind="free-api-keys"><name>Pollinations.ai</name><url>https://pollinations.ai</url><description>Free open APIs — no key needed for many endpoints.</description></resource>
  <resource slug="a4f" kind="free-api-keys"><name>A4F</name><url>https://a4f.co</url><description>Free LLM endpoints community.</description></resource>
  <resource slug="chutes" kind="free-api-keys"><name>Chutes</name><url>https://chutes.ai</url><description>Free compute endpoints.</description></resource>
  <resource slug="featherless" kind="free-api-keys"><name>Featherless</name><url>https://featherless.ai</url><description>Free model endpoints.</description></resource>
  <resource slug="publicai" kind="free-api-keys"><name>PublicAI</name><url>https://publicai.co</url><description>Free public inference endpoints.</description></resource>
  <resource slug="infomaniak-free" kind="free-api-keys"><name>Infomaniak AI free endpoints</name><url>https://www.infomaniak.com/en/hosting/ai-tools</url><description>Swiss free AI endpoints.</description></resource>
  <resource slug="hf-inference-free" kind="free-api-keys"><name>HuggingFace Inference free tier</name><url>https://huggingface.co/inference-api</url><description>Free HF inference quota.</description></resource>
  <resource slug="tokenfactory" kind="free-api-keys"><name>TokenFactory</name><url>https://tokenfactory.ai</url><description>Free inference token pool.</description></resource>
  <resource slug="openai-compat-free" kind="free-api-keys"><name>OpenAI-compatible self-host</name><url>https://localai.io</url><description>Run an OpenAI-compatible API yourself — free forever.</description></resource>
  <resource slug="fllm-zhipu-glm-5-3" kind="free-api-keys"><name>zhipu/glm-5-3</name><url>https://freellmapi.co/models</url><description>Free model on FreeLLMAPI (provider: zhipu).</description></resource>
  <resource slug="zed" kind="ide" stars="95024"><name>Zed</name><url>https://zed.dev</url><description>Fast editor with built-in agent.</description></resource>
  <resource slug="void" kind="ide" stars="28713"><name>Void</name><url>https://voideditor.com</url><description>Open-source Cursor alternative.</description></resource>
  <resource slug="kimi-desktop" kind="ide" stars="2321"><name>Kimi Desktop</name><url>https://kimi.moonshot.cn</url><description>Moonshot's agentic desktop assistant.</description></resource>
  <resource slug="windsurf" kind="ide"><name>Windsurf</name><url>https://windsurf.com</url><description>Agentic IDE (Codeium) with Cascade agent.</description></resource>
  <resource slug="antigravity" kind="ide"><name>Google Antigravity</name><url>https://antigravity.google</url><description>Google's agent-first IDE.</description></resource>
  <resource slug="cursor" kind="ide"><name>Cursor</name><url>https://cursor.com</url><description>Agentic AI IDE.</description></resource>
  <resource slug="cline" kind="ide-plugin" stars="71620"><name>Cline</name><url>https://cline.bot</url><description>Autonomous coding agent in VS Code.</description></resource>
  <resource slug="continue" kind="ide-plugin" stars="36481"><name>Continue</name><url>https://continue.dev</url><description>Open autopilot for VS Code + JetBrains.</description></resource>
  <resource slug="claude-cowork" kind="ide-plugin" stars="424"><name>Claude CoWork</name><url>https://claude.ai</url><description>Claude Desktop local-agent mode.</description></resource>
  <resource slug="gitlab-duo" kind="ide-plugin"><name>GitLab Duo</name><url>https://about.gitlab.com/gitlab-duo/</url><description>GitLab's AI assistant suite (chat, code, agent workflows).</description></resource>
  <resource slug="mcp-so" kind="mcp-registry"><name>mcp.so</name><url>https://mcp.so</url><description>Largest public MCP server directory.</description></resource>
  <resource slug="mcpize" kind="mcp-registry"><name>MCPize</name><url>https://mcpize.com</url><description>MCP hosting + monetization platform.</description></resource>
  <resource slug="mcpservers-org" kind="mcp-registry"><name>mcpservers.org</name><url>https://mcpservers.org</url><description>MCP server directory + docs.</description></resource>
  <resource slug="glama" kind="mcp-registry"><name>Glama</name><url>https://glama.ai</url><description>MCP gateway + server directory.</description></resource>
  <resource slug="pulsemcp" kind="mcp-registry"><name>PulseMCP</name><url>https://www.pulsemcp.com</url><description>MCP server directory + news.</description></resource>
  <resource slug="mcpmarket" kind="mcp-registry"><name>MCP Market</name><url>https://mcpmarket.com</url><description>MCP server marketplace.</description></resource>
  <resource slug="mcp-filesystem" kind="mcp-server" stars="91986"><name>MCP filesystem</name><url>https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem</url><description>Official filesystem MCP.</description></resource>
  <resource slug="everything-mcp" kind="mcp-server" stars="91986"><name>Everything MCP</name><url>https://github.com/modelcontextprotocol/servers</url><description>The official MCP servers collection.</description></resource>
  <resource slug="mcp-mem0" kind="mcp-server" stars="68950"><name>mem0 MCP</name><url>https://mem0.ai</url><description>Agent memory MCP.</description></resource>
  <resource slug="mcp-context7" kind="mcp-server" stars="64792"><name>Context7</name><url>https://context7.com</url><description>Up-to-date library docs MCP.</description></resource>
  <resource slug="chrome-devtools-mcp" kind="mcp-server|browser-agent" stars="56043"><name>chrome-devtools-mcp</name><url>https://github.com/ChromeDevTools/chrome-devtools-mcp</url><description>Official Chrome DevTools MCP.</description></resource>
  <resource slug="mcp-graphiti" kind="mcp-server" stars="32806"><name>Graphiti</name><url>https://github.com/getzep/graphiti</url><description>Temporal knowledge-graph memory.</description></resource>
  <resource slug="mcp-supermemory" kind="mcp-server" stars="31617"><name>Supermemory</name><url>https://supermemory.ai</url><description>Universal memory API + MCP.</description></resource>
  <resource slug="aws-mcp" kind="mcp-server" stars="9919"><name>AWS MCP servers</name><url>https://github.com/awslabs/mcp</url><description>AWS Labs' MCP collection.</description></resource>
  <resource slug="mcp-firecrawl" kind="mcp-server" stars="7818"><name>Firecrawl MCP</name><url>https://github.com/mendableai/firecrawl-mcp-server</url><description>Scrape/crawl/search MCP.</description></resource>
  <resource slug="mcp-browser-tools" kind="mcp-server" stars="7344"><name>Browser Tools MCP</name><url>https://browsertools.agentdesk.ai</url><description>Browser inspection + audit MCP.</description></resource>
  <resource slug="mcp-snyk" kind="mcp-server" stars="5710"><name>Snyk MCP</name><url>https://snyk.io</url><description>Security scanning MCP.</description></resource>
  <resource slug="mcp-perplexity" kind="mcp-server" stars="2626"><name>Perplexity MCP</name><url>https://github.com/ppl-ai/modelcontextprotocol</url><description>Sonar search MCP.</description></resource>
  <resource slug="azure-mcp" kind="mcp-server" stars="1223"><name>Azure MCP</name><url>https://github.com/Azure/azure-mcp</url><description>Microsoft's Azure MCP.</description></resource>
  <resource slug="mcp-github" kind="mcp-server"><name>MCP GitHub</name><url>https://github.com/github/github-mcp-server</url><description>GitHub's official MCP server.</description></resource>
  <resource slug="mcp-memory" kind="mcp-server"><name>MCP memory</name><url>https://github.com/modelcontextprotocol/servers/tree/main/src/memory</url><description>Knowledge-graph memory MCP.</description></resource>
  <resource slug="mcp-sequential" kind="mcp-server"><name>MCP sequential-thinking</name><url>https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking</url><description>Step-wise reasoning MCP.</description></resource>
  <resource slug="mcp-fetch" kind="mcp-server"><name>MCP fetch</name><url>https://github.com/modelcontextprotocol/servers/tree/main/src/fetch</url><description>Web fetch MCP.</description></resource>
  <resource slug="mcp-postgres" kind="mcp-server"><name>MCP postgres</name><url>https://github.com/modelcontextprotocol/servers/tree/main/src/postgres</url><description>PostgreSQL MCP.</description></resource>
  <resource slug="mcp-playwright" kind="mcp-server"><name>Playwright MCP</name><url>https://github.com/microsoft/playwright-mcp</url><description>Microsoft's browser automation MCP.</description></resource>
  <resource slug="t3rnel-session-mcp" kind="mcp-server"><name>T3rnel Session MCP</name><url>https://github.com/t3ratech/t3rnel-browser-plugin</url><description>Real-browser MCP bridge (this product's acceptance path).</description></resource>
  <resource slug="t3rnel-mem0-mcp" kind="mcp-server"><name>T3rnel mem0</name><url>https://github.com/t3ratech/t3rnel</url><description>T3rnel memory facade MCP.</description></resource>
  <resource slug="t3rnel-doc-intel-mcp" kind="mcp-server"><name>T3rnel Document Intelligence</name><url>https://github.com/t3ratech/t3rnel</url><description>Invoice/receipt extraction MCP (sibling product).</description></resource>
  <resource slug="headroom" kind="mcp-server"><name>Headroom</name><url>https://github.com/headroom</url><description>Agent headroom/memory MCP.</description></resource>
  <resource slug="composio-mcp" kind="mcp-server"><name>Composio MCP</name><url>https://composio.dev</url><description>Tool integrations MCP.</description></resource>
  <resource slug="gitlab-mcp" kind="mcp-server"><name>GitLab MCP</name><url>https://gitlab.com</url><description>GitLab's official MCP.</description></resource>
  <resource slug="linear-mcp" kind="mcp-server"><name>Linear MCP</name><url>https://linear.app</url><description>Linear's official MCP.</description></resource>
  <resource slug="slack-mcp" kind="mcp-server"><name>Slack MCP</name><url>https://slack.com</url><description>Slack's official MCP.</description></resource>
  <resource slug="notion-mcp" kind="mcp-server"><name>Notion MCP</name><url>https://notion.so</url><description>Notion's official MCP.</description></resource>
  <resource slug="vercel-mcp" kind="mcp-server"><name>Vercel MCP</name><url>https://vercel.com</url><description>Vercel's official MCP.</description></resource>
  <resource slug="stripe-mcp" kind="mcp-server"><name>Stripe MCP</name><url>https://stripe.com</url><description>Stripe's official MCP.</description></resource>
  <resource slug="supabase-mcp" kind="mcp-server"><name>Supabase MCP</name><url>https://supabase.com</url><description>Supabase's official MCP.</description></resource>
  <resource slug="figma-mcp" kind="mcp-server"><name>Figma MCP</name><url>https://figma.com</url><description>Figma's official MCP.</description></resource>
  <resource slug="sentry-mcp" kind="mcp-server"><name>Sentry MCP</name><url>https://sentry.io</url><description>Sentry's official MCP.</description></resource>
  <resource slug="datadog-mcp" kind="mcp-server"><name>Datadog MCP</name><url>https://datadoghq.com</url><description>Datadog's official MCP.</description></resource>
  <resource slug="grafana-mcp" kind="mcp-server"><name>Grafana MCP</name><url>https://grafana.com</url><description>Grafana's official MCP.</description></resource>
  <resource slug="elasticsearch-mcp" kind="mcp-server"><name>Elasticsearch MCP</name><url>https://elastic.co</url><description>Elastic's official MCP.</description></resource>
  <resource slug="mongodb-mcp" kind="mcp-server"><name>MongoDB MCP</name><url>https://mongodb.com</url><description>MongoDB's official MCP.</description></resource>
  <resource slug="redis-mcp" kind="mcp-server"><name>Redis MCP</name><url>https://redis.io</url><description>Redis's official MCP.</description></resource>
  <resource slug="gcp-mcp" kind="mcp-server"><name>GCP MCP</name><url>https://cloud.google.com</url><description>Google Cloud's MCP tools.</description></resource>
  <resource slug="awesome-everything" kind="mcp-server"><name>Everything</name><url>https://github.com/modelcontextprotocol/servers/blob/main/src/everything</url><description>Reference / test server with prompts, resources, and tools</description></resource>
  <resource slug="awesome-git" kind="mcp-server"><name>Git</name><url>https://github.com/modelcontextprotocol/servers/tree/main/src/git</url><description>Tools to read, search, and manipulate Git repositories</description></resource>
  <resource slug="awesome-time" kind="mcp-server"><name>Time</name><url>https://github.com/modelcontextprotocol/servers/blob/main/src/time</url><description>Time and timezone conversion capabilities</description></resource>
  <resource slug="awesome-1mcpserver" kind="mcp-server"><name>1mcpserver</name><url>https://github.com/particlefuture/1mcpserver</url><description>MCP of MCPs. Automatic discovery and configure MCP servers on your local machine. Fully REMOTE! Just use https://mcp.1mcpserver.com/mcp/</description></resource>
  <resource slug="awesome-21st-dev-magic" kind="mcp-server"><name>21st.dev Magic</name><url>https://github.com/21st-dev/magic-mcp</url><description>Create crafted UI components inspired by the best 21st.dev design engineers.</description></resource>
  <resource slug="awesome-4everland-4everland-hosting-mcp" kind="mcp-server"><name>4everland/4everland-hosting-mcp</name><url>https://github.com/4everland/4everland-hosting-mcp</url><description>An MCP server implementation for 4EVERLAND Hosting enabling instant deployment of AI-generated code to decentralized storage networks like Greenfield, IPFS, and Arweave.</description></resource>
  <resource slug="awesome-adfin" kind="mcp-server"><name>Adfin</name><url>https://github.com/Adfin-Engineering/mcp-server-adfin</url><description>The only platform you need to get paid - all payments in one place, invoicing and accounting reconciliations with Adfin.</description></resource>
  <resource slug="awesome-agent-mindshare" kind="mcp-server"><name>Agent Mindshare</name><url>https://agentmindshare.com</url><description>Track and monitor AI agent mindshare across platforms - measure brand visibility in AI conversations with Agent Mindshare.</description></resource>
  <resource slug="awesome-agentql" kind="mcp-server"><name>AgentQL</name><url>https://github.com/tinyfish-io/agentql-mcp</url><description>Enable AI agents to get structured data from unstructured web with AgentQL.</description></resource>
  <resource slug="awesome-agentrpc" kind="mcp-server"><name>AgentRPC</name><url>https://github.com/agentrpc/agentrpc</url><description>Connect to any function, any language, across network boundaries using AgentRPC.</description></resource>
  <resource slug="awesome-agile-luminary" kind="mcp-server"><name>Agile Luminary</name><url>https://github.com/AgileLuminary/mcp-agile-luminary</url><description>Simpler Project Management - send Agile Luminary stories straight to your IDE</description></resource>
  <resource slug="awesome-aiven" kind="mcp-server"><name>Aiven</name><url>https://github.com/Aiven-Open/mcp-aiven</url><description>Navigate your Aiven projects and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services</description></resource>
  <resource slug="awesome-alapi" kind="mcp-server"><name>ALAPI</name><url>https://github.com/ALAPI-SDK/mcp-alapi-cn</url><description>ALAPI MCP Tools,Call hundreds of API interfaces via MCP</description></resource>
  <resource slug="awesome-alby-bitcoin-payments-mcp" kind="mcp-server"><name>Alby Bitcoin Payments MCP</name><url>https://github.com/getAlby/mcp/</url><description>Connect any bitcoin lightning wallet to agents to send and receive payments instantly at low cost.</description></resource>
  <resource slug="awesome-allyson" kind="mcp-server"><name>Allyson</name><url>https://github.com/isaiahbjork/allyson-mcp</url><description>AI-powered SVG animation generator that transforms static files into animated SVG components using the Allyson platform</description></resource>
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  <resource slug="awesome-drand" kind="mcp-server"><name>Drand</name><url>https://github.com/randa-mu/drand-mcp-server</url><description>An MCP server for fetching verifiable random numbers from the drand network.</description></resource>
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  <resource slug="awesome-edgeone-pages-mcp" kind="mcp-server"><name>EdgeOne Pages MCP</name><url>https://github.com/TencentEdgeOne/edgeone-pages-mcp</url><description>An MCP service for deploying HTML content to EdgeOne Pages and obtaining a publicly accessible URL.</description></resource>
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  <resource slug="awesome-find-a-domain" kind="mcp-server"><name>Find-A-Domain</name><url>https://findadomain.dev/mcp</url><description>Domain availability checking and WHOIS lookup tools.</description></resource>
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  <resource slug="awesome-fulcra-context" kind="mcp-server"><name>Fulcra Context</name><url>https://github.com/fulcradynamics/fulcra-context-mcp</url><description>Fulcra Context MCP server for accessing your personal health, workouts, sleep, location, and more, all privately. Built around Context by Fulcra.</description></resource>
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  <resource slug="awesome-google-cloud-run" kind="mcp-server"><name>Google Cloud Run</name><url>https://github.com/GoogleCloudPlatform/cloud-run-mcp</url><description>Official MCP Server to deploy to Google Cloud Run.</description></resource>
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  <resource slug="awesome-greptimedb" kind="mcp-server"><name>GreptimeDB</name><url>https://github.com/GreptimeTeam/greptimedb-mcp-server</url><description>Provides AI assistants with a secure and structured way to explore and analyze data in GreptimeDB.</description></resource>
  <resource slug="awesome-growthbook" kind="mcp-server"><name>GrowthBook</name><url>https://github.com/growthbook/growthbook-mcp</url><description>Create and read feature flags, review experiments, generate flag types, search docs, and interact with GrowthBook's feature flagging and experimentation platform.</description></resource>
  <resource slug="awesome-harness" kind="mcp-server"><name>Harness</name><url>https://github.com/harness/mcp-server</url><description>Access and interact with Harness platform data, including pipelines, repositories, logs, and artifact registries.</description></resource>
  <resource slug="awesome-hive-intelligence" kind="mcp-server"><name>Hive Intelligence</name><url>https://github.com/hive-intel/hive-crypto-mcp</url><description>📇 ☁️ 🏠 - Hive Intelligence: Ultimate cryptocurrency MCP for AI assistants with unified access to crypto, DeFi, and Web3 analytics. Hive's remote mcp server guide remote server.</description></resource>
  <resource slug="awesome-hologres" kind="mcp-server"><name>Hologres</name><url>https://github.com/aliyun/alibabacloud-hologres-mcp-server</url><description>Connect to a Hologres instance, get table metadata, query and analyze data.</description></resource>
  <resource slug="awesome-hostinger" kind="mcp-server"><name>Hostinger</name><url>https://github.com/hostinger/api-mcp-server</url><description>Official Hostinger API MCP server for services managment.</description></resource>
  <resource slug="awesome-hydrolix" kind="mcp-server"><name>Hydrolix</name><url>https://github.com/hydrolix/mcp-hydrolix</url><description>Hydrolix time-series datalake integration providing schema exploration and query capabilities to LLM-based workflows.</description></resource>
  <resource slug="awesome-hyperbrowser" kind="mcp-server"><name>Hyperbrowser</name><url>https://github.com/hyperbrowserai/mcp</url><description>Hyperbrowser is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation.</description></resource>
  <resource slug="awesome-ibm-wxflows" kind="mcp-server"><name>IBM wxflows</name><url>https://github.com/IBM/wxflows/tree/main/examples/mcp/javascript</url><description>Tool platform by IBM to build, test and deploy tools for any data source</description></resource>
  <resource slug="awesome-forevervm" kind="mcp-server"><name>ForeverVM</name><url>https://github.com/jamsocket/forevervm/tree/main/javascript/mcp-server</url><description>Run Python in a code sandbox.</description></resource>
  <resource slug="awesome-inbox-zero" kind="mcp-server"><name>Inbox Zero</name><url>https://github.com/elie222/inbox-zero/tree/main/apps/mcp-server</url><description>AI personal assistant for email Inbox Zero</description></resource>
  <resource slug="awesome-inkeep" kind="mcp-server"><name>Inkeep</name><url>https://github.com/inkeep/mcp-server-python</url><description>RAG Search over your content powered by Inkeep</description></resource>
  <resource slug="awesome-instantdb" kind="mcp-server"><name>InstantDB</name><url>https://github.com/instantdb/instant/tree/main/client/packages/mcp</url><description>Create, manage, and update applications on InstantDB, the modern Firebase.</description></resource>
  <resource slug="awesome-inspektor-gadget-mcp-server" kind="mcp-server"><name>Inspektor Gadget MCP server</name><url>https://github.com/inspektor-gadget/ig-mcp-server</url><description>Debug your Container and Kubernetes workloads with an AI interface powered by eBPF.</description></resource>
  <resource slug="awesome-integration-app" kind="mcp-server"><name>Integration App</name><url>https://github.com/integration-app/mcp-server</url><description>Interact with any other SaaS applications on behalf of your customers.</description></resource>
  <resource slug="awesome-ip2location-io" kind="mcp-server"><name>IP2Location.io</name><url>https://github.com/ip2location/mcp-ip2location-io</url><description>IP2Location.io API integration to retrieve the geolocation information for an IP address.</description></resource>
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  <resource slug="awesome-jetbrains" kind="mcp-server"><name>JetBrains</name><url>https://github.com/JetBrains/mcp-jetbrains</url><description>Work on your code with JetBrains IDEs</description></resource>
  <resource slug="awesome-jetty-io" kind="mcp-server"><name>Jetty.io</name><url>https://github.com/jettyio/mlcbakery/tree/main/mcp_server</url><description>Work on dataset metadata with MLCommons Croissant validation and creation.</description></resource>
  <resource slug="awesome-kagi-search" kind="mcp-server"><name>Kagi Search</name><url>https://github.com/kagisearch/kagimcp</url><description>Search the web using Kagi's search API</description></resource>
  <resource slug="awesome-keboola" kind="mcp-server"><name>Keboola</name><url>https://github.com/keboola/keboola-mcp-server</url><description>Build robust data workflows, integrations, and analytics on a single intuitive platform.</description></resource>
  <resource slug="awesome-knit-mcp" kind="mcp-server"><name>Knit MCP</name><url>https://developers.getknit.dev/docs/knit-mcp-server-getting-started</url><description>Connect with 10,000+ tools across HRIS, ATS, CRM, Accounting, Calendar, Meeting, Ticketing, and more categories.</description></resource>
  <resource slug="awesome-kontent-ai" kind="mcp-server"><name>Kontent.ai</name><url>https://github.com/kontent-ai/mcp-server</url><description>Create, manage, and explore your content and content model using natural language in any MCP-compatible AI tool.</description></resource>
  <resource slug="awesome-last9" kind="mcp-server"><name>Last9</name><url>https://github.com/last9/last9-mcp-server</url><description>Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster.</description></resource>
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  <resource slug="awesome-langfuse-prompt-management" kind="mcp-server"><name>Langfuse Prompt Management</name><url>https://github.com/langfuse/mcp-server-langfuse</url><description>Open-source tool for collaborative editing, versioning, evaluating, and releasing prompts.</description></resource>
  <resource slug="awesome-line-official-account" kind="mcp-server"><name>LINE Official Account</name><url>https://github.com/line/line-bot-mcp-server</url><description>Integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.</description></resource>
  <resource slug="awesome-lingo-dev" kind="mcp-server"><name>Lingo.dev</name><url>https://github.com/lingodotdev/lingo.dev/blob/main/mcp.md</url><description>Make your AI agent speak every language on the planet, using Lingo.dev Localization Engine.</description></resource>
  <resource slug="awesome-linked-api" kind="mcp-server"><name>Linked API</name><url>https://github.com/Linked-API/linkedapi-mcp.git</url><description>MCP server that lets AI assistants control LinkedIn accounts and retrieve real-time data with Linked API.</description></resource>
  <resource slug="awesome-mailgun" kind="mcp-server"><name>Mailgun</name><url>https://github.com/mailgun/mailgun-mcp-server</url><description>Interact with Mailgun API.</description></resource>
  <resource slug="awesome-mailsandbox" kind="mcp-server"><name>MailSandbox</name><url>https://github.com/btafoya/mailsandbox</url><description>MailSandbox (a fork of Mailpit) is a fast, zero-dependency email testing tool &amp; API with a web UI, SMTP server, Postmark API emulation, and MCP server for AI-assisted debugging.</description></resource>
  <resource slug="awesome-mailtrap" kind="mcp-server"><name>Mailtrap</name><url>https://github.com/railsware/mailtrap-mcp</url><description>Integrates with Mailtrap Email API.</description></resource>
  <resource slug="awesome-make" kind="mcp-server"><name>Make</name><url>https://github.com/integromat/make-mcp-server</url><description>Turn your Make scenarios into callable tools for AI assistants.</description></resource>
  <resource slug="awesome-mapbox" kind="mcp-server"><name>Mapbox</name><url>https://github.com/mapbox/mcp-server</url><description>Unlock geospatial intelligence through Mapbox APIs like geocoding, POI search, directions, isochrones and more.</description></resource>
  <resource slug="awesome-mastra-mcp" kind="mcp-server"><name>Mastra/mcp</name><url>https://github.com/mastra-ai/mastra/tree/main/packages/mcp</url><description>Client implementation for Mastra, providing seamless integration with MCP-compatible AI models and tools.</description></resource>
  <resource slug="awesome-mastra-mcp-docs-server" kind="mcp-server"><name>Mastra/mcp-docs-server</name><url>https://github.com/mastra-ai/mastra/tree/main/packages/mcp-docs-server</url><description>Provides AI assistants with direct access to Mastra.ai's complete knowledge base.</description></resource>
  <resource slug="awesome-mcp-toolbox-for-databases" kind="mcp-server"><name>MCP Toolbox for Databases</name><url>https://github.com/googleapis/genai-toolbox</url><description>Open source MCP server specializing in easy, fast, and secure tools for Databases.</description></resource>
  <resource slug="awesome-meilisearch" kind="mcp-server"><name>Meilisearch</name><url>https://github.com/meilisearch/meilisearch-mcp</url><description>Interact &amp; query with Meilisearch (Full-text &amp; semantic search API)</description></resource>
  <resource slug="awesome-mercado-libre" kind="mcp-server"><name>Mercado Libre</name><url>https://mcp.mercadolibre.com/</url><description>Mercado Libre's official MCP server, offering tools to interact with our marketplace, simplifying tasks and product integration.</description></resource>
  <resource slug="awesome-mercado-pago" kind="mcp-server"><name>Mercado Pago</name><url>https://mcp.mercadopago.com/</url><description>Mercado Pago's official MCP server, offering tools to interact with our API, simplifying tasks and product integration.</description></resource>
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  <resource slug="awesome-mux" kind="mcp-server"><name>Mux</name><url>https://github.com/muxinc/mux-node-sdk/tree/master/packages/mcp-server</url><description>Mux is a video API for developers. With Mux's official MCP you can upload videos, create live streams, generate thumbnails, add captions, manage playback policies, dig through engagement data, monitor video performance, and more.</description></resource>
  <resource slug="awesome-needle" kind="mcp-server"><name>Needle</name><url>https://github.com/needle-ai/needle-mcp</url><description>Production-ready RAG out of the box to search and retrieve data from your own documents.</description></resource>
  <resource slug="awesome-neo4j" kind="mcp-server"><name>Neo4j</name><url>https://github.com/neo4j-contrib/mcp-neo4j/</url><description>Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory</description></resource>
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  <resource slug="awesome-nebula-block-data-nebulablock-mcp-server" kind="mcp-server"><name>Nebula-Block-Data/nebulablock-mcp-server</name><url>https://github.com/Nebula-Block-Data/nebulablock-mcp-server</url><description>integrates with the fastmcp library to expose the full range of NebulaBlock API functionalities as accessible tools</description></resource>
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  <resource slug="awesome-notte" kind="mcp-server"><name>Notte</name><url>https://github.com/nottelabs/notte/tree/main/packages/notte-mcp</url><description>Leverage Notte Web AI agents &amp; cloud browser sessions for scalable browser automation &amp; scraping workflows</description></resource>
  <resource slug="awesome-norman-finance" kind="mcp-server"><name>Norman Finance</name><url>https://github.com/norman-finance/norman-mcp-server</url><description>MCP server for managing accounting and taxes with Norman Finance.</description></resource>
  <resource slug="awesome-oceanbase" kind="mcp-server"><name>OceanBase</name><url>https://github.com/oceanbase/mcp-oceanbase</url><description>MCP Server for OceanBase database and its tools</description></resource>
  <resource slug="awesome-octagon" kind="mcp-server"><name>Octagon</name><url>https://github.com/OctagonAI/octagon-mcp-server</url><description>Deliver real-time investment research with extensive private and public market data.</description></resource>
  <resource slug="awesome-octocode" kind="mcp-server"><name>Octocode</name><url>https://github.com/bgauryy/octocode-mcp</url><description>Leading AI-powered code assistant for advanced research, analysis and discovery across GitHub Repositories in large ecosystems</description></resource>
  <resource slug="awesome-ocireg" kind="mcp-server"><name>ocireg</name><url>https://github.com/StacklokLabs/ocireg-mcp</url><description>An SSE-based MCP server that allows LLM-powered applications to interact with OCI registries. It provides tools for retrieving information about container images, listing tags, and more.</description></resource>
  <resource slug="awesome-octoeverywhere-for-3d-printing" kind="mcp-server"><name>OctoEverywhere For 3D Printing</name><url>https://octoeverywhere.com/mcp</url><description>A 3D Printing MCP server that allows for querying for live state, webcam snapshots, and 3D printer control.</description></resource>
  <resource slug="awesome-op-gg" kind="mcp-server"><name>OP.GG</name><url>https://github.com/opgginc/opgg-mcp</url><description>Access real-time gaming data across popular titles like League of Legends, TFT, and Valorant, offering champion analytics, esports schedules, meta compositions, and character statistics.</description></resource>
  <resource slug="awesome-openfort" kind="mcp-server"><name>Openfort</name><url>https://github.com/openfort-xyz/mcp</url><description>Supercharge your AI assistant with plug-and-play access to authentication, project scaffolding, and smart wallet tooling.</description></resource>
  <resource slug="awesome-oxylabs" kind="mcp-server"><name>Oxylabs</name><url>https://github.com/oxylabs/oxylabs-mcp</url><description>Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction.</description></resource>
  <resource slug="awesome-paddleocr" kind="mcp-server"><name>PaddleOCR</name><url>https://paddlepaddle.github.io/PaddleOCR/latest/en/version3.x/deployment/mcp_server.html</url><description>An MCP server that brings enterprise-grade OCR and document parsing capabilities to AI applications.</description></resource>
  <resource slug="awesome-paypal" kind="mcp-server"><name>PayPal</name><url>https://github.com/paypal/agent-toolkit</url><description>The PayPal Model Context Protocol server allows you to integrate with PayPal APIs through function calling. This protocol supports various tools to interact with different PayPal services.</description></resource>
  <resource slug="awesome-pearl" kind="mcp-server"><name>Pearl</name><url>https://mcp.pearl.com</url><description>Official MCP Server to interact with Pearl API. Connect your AI Agents with 12,000+ certified experts instantly.</description></resource>
  <resource slug="awesome-pearch" kind="mcp-server"><name>Pearch</name><url>https://github.com/Pearch-ai/mcp_pearch</url><description>Best people search engine that reduces the time spent on talent discovery.</description></resource>
  <resource slug="awesome-pgyer" kind="mcp-server"><name>PGYER</name><url>https://github.com/PGYER/pgyer-mcp-server</url><description>MCP Server for PGYER platform, supports uploading, querying apps, etc.</description></resource>
  <resource slug="awesome-plainsignal" kind="mcp-server"><name>PlainSignal</name><url>https://github.com/plainsignal/plainsignal-mcp</url><description>Official MCP server that connects to PlainSignal's API and querying realtime website analytics data in conversational AI.</description></resource>
  <resource slug="awesome-plane" kind="mcp-server"><name>Plane</name><url>https://github.com/makeplane/plane-mcp-server</url><description>The official Plane MCP server provides integration with Plane APIs, enabling full AI automation of Plane projects, work items, cycles and more.</description></resource>
  <resource slug="awesome-plugged-in" kind="mcp-server"><name>Plugged.in</name><url>https://github.com/VeriTeknik/pluggedin-mcp-proxy</url><description>A comprehensive proxy that combines multiple MCP servers into a single MCP. It provides discovery and management of tools, prompts, resources, and templates across servers, plus a playground for debugging when building MCP servers.</description></resource>
  <resource slug="awesome-postman" kind="mcp-server"><name>Postman</name><url>https://github.com/postmanlabs/postman-mcp-server</url><description>Postman’s remote MCP server connects AI agents, assistants, and chatbots directly to your APIs on Postman.</description></resource>
  <resource slug="awesome-powerdrill" kind="mcp-server"><name>Powerdrill</name><url>https://github.com/powerdrillai/powerdrill-mcp</url><description>An MCP server that provides tools to interact with Powerdrill datasets, enabling smart AI data analysis and insights.</description></resource>
  <resource slug="awesome-powertool" kind="mcp-server"><name>Powertool</name><url>https://github.com/aws-powertools/powertools-mcp</url><description>An MCP implementation that provides search functionality for the Powertools for AWS Lambda documentation across multiple runtimes.</description></resource>
  <resource slug="awesome-prisma-postgres" kind="mcp-server"><name>Prisma Postgres</name><url>https://github.com/prisma/mcp</url><description>Gives LLMs the ability to manage Prisma Postgres databases (e.g. spin up new databases and run migrations or queries)</description></resource>
  <resource slug="awesome-prodeai" kind="mcp-server"><name>ProdEAI</name><url>https://github.com/CuriousBox-AI/ProdE-mc</url><description>Your 24/7 production engineer that preserves context across multiple codebases Prode.ai.</description></resource>
  <resource slug="awesome-qa-sphere" kind="mcp-server"><name>QA Sphere</name><url>https://github.com/Hypersequent/qasphere-mcp</url><description>Integration with QA Sphere test management system, enabling LLMs to discover, summarize, and interact with test cases directly from AI-powered IDEs</description></resource>
  <resource slug="awesome-qdrant" kind="mcp-server"><name>Qdrant</name><url>https://github.com/qdrant/mcp-server-qdrant/</url><description>Implement semantic memory layer on top of the Qdrant vector search engine</description></resource>
  <resource slug="awesome-rad-security" kind="mcp-server"><name>RAD Security</name><url>https://github.com/rad-security/mcp-server</url><description>Interact with the RAD Security platform which provides AI-powered security insights for Kubernetes and cloud environments.</description></resource>
  <resource slug="awesome-ramp" kind="mcp-server"><name>Ramp</name><url>https://github.com/ramp-public/ramp-mcp</url><description>Interact with Ramp's Developer API to run analysis on your spend and gain insights leveraging LLMs</description></resource>
  <resource slug="awesome-raygun" kind="mcp-server"><name>Raygun</name><url>https://github.com/MindscapeHQ/mcp-server-raygun</url><description>Interact with your crash reporting and real using monitoring data on your Raygun account</description></resource>
  <resource slug="awesome-reexpress" kind="mcp-server"><name>Reexpress</name><url>https://github.com/ReexpressAI/reexpress_mcp_server</url><description>Enable Similarity-Distance-Magnitude statistical verification for your search, software, and data science workflows</description></resource>
  <resource slug="awesome-ref" kind="mcp-server"><name>Ref</name><url>https://github.com/ref-tools/ref-tools-mcp</url><description>Up-to-date documentation for your coding agent. Covers 1000s of public repos and sites. Built by ref.tools</description></resource>
  <resource slug="awesome-rember" kind="mcp-server"><name>Rember</name><url>https://github.com/rember/rember-mcp</url><description>Create spaced repetition flashcards in Rember to remember anything you learn in your chats</description></resource>
  <resource slug="awesome-render" kind="mcp-server"><name>Render</name><url>https://render.com/docs/mcp-server</url><description>The official Render MCP server: spin up new services, run queries against your databases, and debug rapidly with direct access to service metrics and logs.</description></resource>
  <resource slug="awesome-revenuecat" kind="mcp-server"><name>RevenueCat</name><url>https://www.revenuecat.com/docs/tools/mcp/overview</url><description>Manage your In-app-purchases in RevenueCat without leaving your AI coding environment.</description></resource>
  <resource slug="awesome-riza" kind="mcp-server"><name>Riza</name><url>https://github.com/riza-io/riza-mcp</url><description>Arbitrary code execution and tool-use platform for LLMs by Riza</description></resource>
  <resource slug="awesome-root-signals" kind="mcp-server"><name>Root Signals</name><url>https://github.com/root-signals/root-signals-mcp</url><description>Equip AI agents with evaluation and self-improvement capabilities with Root Signals</description></resource>
  <resource slug="awesome-routine" kind="mcp-server"><name>Routine</name><url>https://github.com/routineco/mcp-server</url><description>MCP server to interact with Routine: calendars, tasks, notes, etc.</description></resource>
  <resource slug="awesome-rube" kind="mcp-server"><name>Rube</name><url>https://rube.composio.dev</url><description>Rube is a Model Context Protocol (MCP) server that connects your AI tools to 500+ apps like Gmail, Slack, GitHub, and Notion. Simply install it in your AI client, authenticate once with your apps, and start asking your AI to perform real ac</description></resource>
  <resource slug="awesome-search1api" kind="mcp-server"><name>Search1API</name><url>https://github.com/fatwang2/search1api-mcp</url><description>One API for Search, Crawling, and Sitemaps</description></resource>
  <resource slug="awesome-scrapeless" kind="mcp-server"><name>Scrapeless</name><url>https://github.com/scrapeless-ai/scrapeless-mcp-server</url><description>Integrate real-time Scrapeless Google SERP(Google Search, Google Flight, Google Map, Google Jobs....) results into your LLM applications. This server enables dynamic context retrieval for AI workflows, chatbots, and research tools.</description></resource>
  <resource slug="awesome-scrapezy" kind="mcp-server"><name>Scrapezy</name><url>https://github.com/scrapezy/mcp</url><description>Turn websites into datasets with Scrapezy</description></resource>
  <resource slug="awesome-screenshotmcp" kind="mcp-server"><name>ScreenshotMCP</name><url>https://github.com/upnorthmedia/ScreenshotMCP/</url><description>Capture website screenshots including full page, elements, and device specific sizes.</description></resource>
  <resource slug="awesome-screenshotone" kind="mcp-server"><name>ScreenshotOne</name><url>https://github.com/screenshotone/mcp/</url><description>Render website screenshots with ScreenshotOne</description></resource>
  <resource slug="awesome-semgrep" kind="mcp-server"><name>Semgrep</name><url>https://github.com/semgrep/mcp</url><description>Enable AI agents to secure code with Semgrep.</description></resource>
  <resource slug="awesome-sentry" kind="mcp-server"><name>Sentry</name><url>https://github.com/getsentry/sentry-mcp</url><description>Official MCP server for Sentry.</description></resource>
  <resource slug="awesome-singlestore" kind="mcp-server"><name>SingleStore</name><url>https://github.com/singlestore-labs/mcp-server-singlestore</url><description>Interact with the SingleStore database platform</description></resource>
  <resource slug="awesome-slidespeak" kind="mcp-server"><name>SlideSpeak</name><url>https://github.com/SlideSpeak/slidespeak-mcp</url><description>Create presentations and PowerPoints using AI and SlideSpeak MCP</description></resource>
  <resource slug="awesome-sonarqube" kind="mcp-server"><name>SonarQube</name><url>https://github.com/SonarSource/sonarqube-mcp-server</url><description>Provides seamless integration with SonarQube Server or Cloud, and enables analysis of code snippets directly within the agent context</description></resource>
  <resource slug="awesome-shopsavvy" kind="mcp-server"><name>ShopSavvy</name><url>https://github.com/shopsavvy/shopsavvy-mcp-server</url><description>Complete product and pricing data solution for AI assistants. Search for products by barcode/ASIN/URL, access detailed product metadata, access comprehensive pricing data from thousands of retailers, view and track price history, and more. </description></resource>
  <resource slug="awesome-supabase" kind="mcp-server"><name>Supabase</name><url>https://github.com/supabase-community/supabase-mcp</url><description>Connects to Supabase platform for database, auth, edge functions and more.</description></resource>
  <resource slug="awesome-supadata" kind="mcp-server"><name>Supadata</name><url>https://github.com/supadata-ai/mcp</url><description>Official MCP server for Supadata - YouTube, TikTok, X and Web data for makers.</description></resource>
  <resource slug="awesome-square" kind="mcp-server"><name>Square</name><url>https://github.com/square/square-mcp-server</url><description>A Model Context Protocol (MCP) server for square</description></resource>
  <resource slug="awesome-starrocks" kind="mcp-server"><name>StarRocks</name><url>https://github.com/StarRocks/mcp-server-starrocks</url><description>Interact with StarRocks</description></resource>
  <resource slug="awesome-stripe" kind="mcp-server"><name>Stripe</name><url>https://github.com/stripe/agent-toolkit</url><description>Interact with Stripe API</description></resource>
  <resource slug="awesome-talentohq" kind="mcp-server"><name>TalentoHQ</name><url>https://hr.talentohq.com/mcp</url><description>Connect to the TalentoHQ HR software via MCP. Transform your organization with the AI first HR software.</description></resource>
  <resource slug="awesome-taskade" kind="mcp-server"><name>Taskade</name><url>https://github.com/taskade/mcp</url><description>Connect to the Taskade platform via MCP. Access tasks, projects, workflows, and AI agents in real-time through a unified workspace and API.</description></resource>
  <resource slug="awesome-taskeract" kind="mcp-server"><name>Taskeract</name><url>https://github.com/Acqusys/taskeract-mcp</url><description>Official Taskeract MCP Server for integrating your Taskeract project tasks and load the context of your tasks into your MCP enabled app.</description></resource>
  <resource slug="awesome-tavily" kind="mcp-server"><name>Tavily</name><url>https://github.com/tavily-ai/tavily-mcp</url><description>Search engine for AI agents (search + extract) powered by Tavily</description></resource>
  <resource slug="awesome-tencent-cloud-cos-mcp" kind="mcp-server"><name>Tencent Cloud COS MCP</name><url>https://github.com/Tencent/cos-mcp</url><description>Quickly integrate with Tencent Cloud Storage (COS) and Data Processing (CI) capabilities powered</description></resource>
  <resource slug="awesome-teradata" kind="mcp-server"><name>Teradata</name><url>https://github.com/Teradata/teradata-mcp-server</url><description>A collection of tools for managing the platform, addressing data quality and reading and writing to Teradata Database.</description></resource>
  <resource slug="awesome-thingsboard" kind="mcp-server"><name>ThingsBoard</name><url>https://github.com/thingsboard/thingsboard-mcp</url><description>The ThingsBoard MCP Server provides a natural language interface for LLMs and AI agents to interact with your ThingsBoard IoT platform.</description></resource>
  <resource slug="awesome-thirdweb" kind="mcp-server"><name>Thirdweb</name><url>https://github.com/thirdweb-dev/ai/tree/main/python/thirdweb-mcp</url><description>Read/write to over 2k blockchains, enabling data querying, contract analysis/deployment, and transaction execution, powered by Thirdweb</description></resource>
  <resource slug="awesome-tinybird" kind="mcp-server"><name>Tinybird</name><url>https://github.com/tinybirdco/mcp-tinybird</url><description>Interact with Tinybird serverless ClickHouse platform</description></resource>
  <resource slug="awesome-tldv" kind="mcp-server"><name>Tldv</name><url>https://gitlab.com/tldv/tldv-mcp-server</url><description>Connect your AI agents to Google-Meet, Zoom &amp; Microsoft Teams through tl;dv</description></resource>
  <resource slug="awesome-token-metrics" kind="mcp-server"><name>Token Metrics</name><url>https://github.com/token-metrics/mcp</url><description>Token Metrics integration for fetching real-time crypto market data, trading signals, price predictions, and advanced analytics.</description></resource>
  <resource slug="awesome-trade-agent" kind="mcp-server"><name>Trade Agent</name><url>https://github.com/Trade-Agent/trade-agent-mcp</url><description>Execute stock and crypto trades via Trade Agent</description></resource>
  <resource slug="awesome-trackmage" kind="mcp-server"><name>TrackMage</name><url>https://github.com/trackmage/trackmage-mcp-server</url><description>Shipment tracking api and logistics management capabilities through the [TrackMage API] (https://trackmage.com/)</description></resource>
  <resource slug="awesome-twilio" kind="mcp-server"><name>Twilio</name><url>https://github.com/twilio-labs/mcp</url><description>Interact with Twilio APIs to send messages, manage phone numbers, configure your account, and more.</description></resource>
  <resource slug="awesome-twelve-data" kind="mcp-server"><name>Twelve Data</name><url>https://github.com/twelvedata/mcp</url><description>Interact with Twelve Data APIs to access real-time and historical financial market data for your AI agents.</description></resource>
  <resource slug="awesome-unifai" kind="mcp-server"><name>UnifAI</name><url>https://github.com/unifai-network/unifai-mcp-server</url><description>Dynamically search and call tools using UnifAI Network</description></resource>
  <resource slug="awesome-unstructured" kind="mcp-server"><name>Unstructured</name><url>https://github.com/Unstructured-IO/UNS-MCP</url><description>Set up and interact with your unstructured data processing workflows in Unstructured Platform</description></resource>
  <resource slug="awesome-urldna" kind="mcp-server"><name>urlDNA</name><url>https://github.com/urldna/mcp</url><description>Dynamically scan and analyze potentially malicious URLs using the urlDNA</description></resource>
  <resource slug="awesome-vectorize" kind="mcp-server"><name>Vectorize</name><url>https://github.com/vectorize-io/vectorize-mcp-server/</url><description>Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.</description></resource>
  <resource slug="awesome-verodat" kind="mcp-server"><name>Verodat</name><url>https://github.com/Verodat/verodat-mcp-server</url><description>Interact with Verodat AI Ready Data platform</description></resource>
  <resource slug="awesome-veyrax" kind="mcp-server"><name>VeyraX</name><url>https://github.com/VeyraX/veyrax-mcp</url><description>Single tool to control all 100+ API integrations, and UI components</description></resource>
  <resource slug="awesome-videodb" kind="mcp-server"><name>VideoDB</name><url>https://github.com/video-db/agent-toolkit/tree/main/modelcontextprotocol</url><description>Server for advanced AI-driven video editing, semantic search, multilingual transcription, generative media, voice cloning, and content moderation.</description></resource>
  <resource slug="awesome-viso-trust" kind="mcp-server"><name>VISO TRUST</name><url>https://github.com/visotrust/viso-mcp-server</url><description>Access and manage your VISO TRUST third-party risk program directly through your AI assistant.</description></resource>
  <resource slug="awesome-vpunaaisearch" kind="mcp-server"><name>VpunaAiSearch</name><url>https://github.com/vpuna/vpuna-ai-search</url><description>Connect to Vpuna AI Search Service, a developer first platform for semantic search, summarization, and contextual chat. Each project dynamically exposes its own Remote HTTP MCP server, enabling real-time context injection from structured an</description></resource>
  <resource slug="awesome-waystation" kind="mcp-server"><name>WayStation</name><url>https://waystation.ai/connect/mcp-server</url><description>A universal remote MCP server that connects to popular productivity tools such as Notion, Monday, AirTable, and many more.</description></resource>
  <resource slug="awesome-webdatasource" kind="mcp-server"><name>WebDataSource</name><url>https://webdatasource.com/releases/latest/mcp/index.html</url><description>Web Crawler for AI Agents. Supercharge your AI agents with an MCP-ready web crawler that delivers real-time insights from the web and your private knowledge bases.</description></resource>
  <resource slug="awesome-webflow" kind="mcp-server"><name>Webflow</name><url>https://github.com/webflow/mcp-server</url><description>Interact with Webflow APIs to list and edit your site and CMS data.</description></resource>
  <resource slug="awesome-webscraping-ai" kind="mcp-server"><name>WebScraping.AI</name><url>https://github.com/webscraping-ai/webscraping-ai-mcp-server</url><description>Interact with WebScraping.AI for web data extraction and scraping.</description></resource>
  <resource slug="awesome-willi-mako-knowledge-service" kind="mcp-server"><name>Willi MaKo Knowledge Service</name><url>https://mcp.stromhaltig.de</url><description>A knowledge service for Germany's complex Energy Market Communications (MaKo) regulations.</description></resource>
  <resource slug="awesome-winston-ai" kind="mcp-server"><name>Winston AI</name><url>https://github.com/gowinston-ai/winston-ai-mcp-server</url><description>AI detector MCP server with industry leading accuracy rates in detecting use of AI in text and images. The Winston AI MCP server also offers a robust plagiarism checker to help maintain integrity.</description></resource>
  <resource slug="awesome-xero" kind="mcp-server"><name>Xero</name><url>https://github.com/XeroAPI/xero-mcp-server</url><description>Interact with the accounting data in your business using our official MCP server</description></resource>
  <resource slug="awesome-xray" kind="mcp-server"><name>XRAY</name><url>https://github.com/srijanshukla18/xray</url><description>Progressive code-intelligence server: lets AI assistants map structure, fuzzy-find symbols, and assess change-impact across Python, JS/TS, and Go codebases (powered by ast-grep)</description></resource>
  <resource slug="awesome-yepcode" kind="mcp-server"><name>YepCode</name><url>https://github.com/yepcode/mcp-server-js</url><description>Execute any LLM-generated code in the YepCode secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages</description></resource>
  <resource slug="awesome-zapier" kind="mcp-server"><name>Zapier</name><url>https://zapier.com/mcp</url><description>Connect your AI Agents to 8,000 apps instantly.</description></resource>
  <resource slug="awesome-zenable" kind="mcp-server"><name>Zenable</name><url>https://docs.zenable.io/integrations/mcp/getting-started</url><description>Clean up sloppy AI code and prevent vulnerabilities</description></resource>
  <resource slug="awesome-zenml" kind="mcp-server"><name>ZenML</name><url>https://github.com/zenml-io/mcp-zenml</url><description>Interact with your MLOps and LLMOps pipelines through your ZenML MCP server</description></resource>
  <resource slug="awesome-anycrawl" kind="mcp-server"><name>AnyCrawl</name><url>https://github.com/any4ai/anycrawl-mcp-server</url><description>AnyCrawl MCP Server, Powerful web scraping and crawling for Cursor, Claude, and other LLM clients via the Model Context Protocol (MCP).</description></resource>
  <resource slug="awesome-allinonemcp" kind="mcp-server"><name>AllInOneMCP</name><url>https://github.com/particlefuture/MCPDiscovery</url><description>MCP of MCPs. A central hub for MCP servers. Helps you discover available MCP servers and learn how to install and use them. REMOTE! Use the url https://mcp.pfvc.io/mcp/ to add the server. Remember the final backslash\\.</description></resource>
  <resource slug="awesome-airtable" kind="mcp-server"><name>Airtable</name><url>https://github.com/domdomegg/airtable-mcp-server</url><description>Read and write access to Airtable databases.</description></resource>
  <resource slug="awesome-agentset" kind="mcp-server"><name>Agentset</name><url>https://github.com/agentset-ai/mcp-server</url><description>RAG MCP for your Agentset data.</description></resource>
  <resource slug="awesome-alertmanager" kind="mcp-server"><name>Alertmanager</name><url>https://github.com/ntk148v/alertmanager-mcp-server</url><description>A Model Context Protocol (MCP) server that enables AI assistants to integrate with Prometheus Alertmanager</description></resource>
  <resource slug="awesome-algorand" kind="mcp-server"><name>Algorand</name><url>https://github.com/GoPlausible/algorand-mcp</url><description>A comprehensive MCP server for tooling interactions(40+) and resource accessibility(60+) plus many useful prompts to interact with Algorand Blockchain.</description></resource>
  <resource slug="awesome-android-mcp" kind="mcp-server"><name>Android MCP</name><url>https://github.com/minhalvp/android-mcp-server</url><description>📲 An MCP server that provides control over Android devices through ADB. Offers device screenshot capture, UI layout analysis, package management, and ADB command execution capabilities.</description></resource>
  <resource slug="awesome-anilist" kind="mcp-server"><name>AniList</name><url>https://github.com/yuna0x0/anilist-mcp</url><description>AniList MCP server for accessing AniList API data</description></resource>
  <resource slug="awesome-ankiconnect" kind="mcp-server"><name>AnkiConnect</name><url>https://github.com/spacholski1225/anki-connect-mcp</url><description>AnkiConnect MCP server for interacting with Anki via AnkiConnect.</description></resource>
  <resource slug="awesome-any-chat-completions-mcp" kind="mcp-server"><name>any-chat-completions-mcp</name><url>https://github.com/pyroprompts/any-chat-completions-mcp</url><description>Chat with any other OpenAI SDK Compatible Chat Completions API, like Perplexity, Groq, xAI and more</description></resource>
  <resource slug="awesome-apisix-mcp" kind="mcp-server"><name>APISIX-MCP</name><url>https://github.com/api7/apisix-mcp</url><description>APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API, supporting querying and managing all resources in Apache APISIX.</description></resource>
  <resource slug="awesome-apple-notes" kind="mcp-server"><name>Apple Notes</name><url>https://github.com/RafalWilinski/mcp-apple-notes</url><description>Talk with your Apple Notes</description></resource>
  <resource slug="awesome-apple-shortcuts" kind="mcp-server"><name>Apple Shortcuts</name><url>https://github.com/recursechat/mcp-server-apple-shortcuts</url><description>An MCP Server Integration with Apple Shortcuts</description></resource>
  <resource slug="awesome-autogen-documentation" kind="mcp-server"><name>AutoGen documentation</name><url>https://github.com/sykuang/mcp-autogen-doc</url><description>A Model Context Protocol (MCP) server that provides AI assistants with the ability to search and retrieve Microsoft AutoGen documentation.</description></resource>
  <resource slug="awesome-aws-ec2-pricing" kind="mcp-server"><name>AWS EC2 Pricing</name><url>https://github.com/trilogy-group/aws-pricing-mcp</url><description>Get up-to-date EC2 pricing information with one call. Fast. Powered by a pre-parsed AWS pricing catalogue.</description></resource>
  <resource slug="awesome-backup" kind="mcp-server"><name>Backup</name><url>https://github.com/hexitex/MCP-Backup-Server</url><description>Add smart Backup ability to coding agents like Windsurf, Cursor, Cluade Coder, etc</description></resource>
  <resource slug="awesome-basecamp" kind="mcp-server"><name>Basecamp</name><url>https://github.com/georgeantonopoulos/Basecamp-MCP-Server</url><description>Integration with Basecamp project management platform for managing projects, to-dos, card tables, documents, and team collaboration</description></resource>
  <resource slug="awesome-bgg-mcp" kind="mcp-server"><name>BGG MCP</name><url>https://github.com/kkjdaniel/bgg-mcp</url><description>BGG MCP enables AI tools to interact with the BoardGameGeek API.</description></resource>
  <resource slug="awesome-bigquery" kind="mcp-server"><name>BigQuery</name><url>https://github.com/LucasHild/mcp-server-bigquery</url><description>(by LucasHild) - BigQuery database integration with schema inspection and query capabilities</description></resource>
  <resource slug="awesome-binary-ninja" kind="mcp-server"><name>Binary Ninja</name><url>https://github.com/fosdickio/binary_ninja_mcp</url><description>A Binary Ninja plugin, MCP server, and bridge that seamlessly integrates Binary Ninja with your favorite MCP client.</description></resource>
  <resource slug="awesome-bing-webmaster-tools" kind="mcp-server"><name>Bing Webmaster Tools</name><url>https://github.com/isiahw1/mcp-server-bing-webmaster</url><description>MCP server for Bing Webmaster Tools API integration providing access to search analytics, site management, URL submission, and SEO insights</description></resource>
  <resource slug="awesome-bluesky" kind="mcp-server"><name>Bluesky</name><url>https://github.com/keturiosakys/bluesky-context-server</url><description>integrates with Bluesky API to query and search feeds and posts.</description></resource>
  <resource slug="awesome-bloodhound-mcp" kind="mcp-server"><name>BloodHound-MCP</name><url>https://github.com/MorDavid/BloodHound-MCP-AI</url><description>(by MorDavid) - integration that connects BloodHound with AI through MCP, allowing security professionals to analyze Active Directory attack paths using natural language queries instead of Cypher.</description></resource>
  <resource slug="awesome-bytebase-dbhub" kind="mcp-server"><name>bytebase/dbhub</name><url>https://github.com/bytebase/dbhub</url><description>📇 Universal database MCP server supporting mainstream databases.\</description></resource>
  <resource slug="awesome-calculator" kind="mcp-server"><name>Calculator</name><url>https://github.com/githejie/mcp-server-calculator</url><description>This server enables LLMs to use calculator for precise numerical calculations.</description></resource>
  <resource slug="awesome-caldav-mcp" kind="mcp-server"><name>CalDAV MCP</name><url>https://github.com/dominik1001/caldav-mcp</url><description>A CalDAV MCP server to expose calendar operations as tools for AI assistants.</description></resource>
  <resource slug="awesome-context-awesome" kind="mcp-server"><name>context-awesome</name><url>https://github.com/bh-rat/context-awesome</url><description>A MCP server for querying 8,500+ curated awesome lists (1M+ items) and fetching the best resources for your agent.</description></resource>
  <resource slug="awesome-danielpeter-99-calcom-mcp" kind="mcp-server"><name>Danielpeter-99/calcom-mcp</name><url>https://github.com/Danielpeter-99/calcom-mcp</url><description>MCP server for Calcom (Also known as [Cal.com](https://cal.com/)). Manage event types, create bookings, and access Cal.com scheduling data through LLMs.</description></resource>
  <resource slug="awesome-career-site-jobs" kind="mcp-server"><name>Career Site Jobs</name><url>https://apify.com/fantastic-jobs/career-site-job-listing-api/api/mcp</url><description>A MCP server to retrieve up-to-date jobs from company career sites.</description></resource>
  <resource slug="awesome-canvas-lms" kind="mcp-server"><name>Canvas LMS</name><url>https://github.com/ahnopologetic/canvas-lms-mcp</url><description>MCP server for easy access to education data through your Canvas LMS instance.</description></resource>
  <resource slug="awesome-chaitin-ip-intelligence" kind="mcp-server"><name>Chaitin IP Intelligence</name><url>https://github.com/co0ontty/chaitin-ip-intelligence-search-tool</url><description>Search for IP addresses using Chaitin's IP Intelligence API.</description></resource>
  <resource slug="awesome-chucknorris" kind="mcp-server"><name>ChuckNorris</name><url>https://github.com/pollinations/chucknorris-mcp</url><description>A specialized MCP gateway for LLM enhancement prompts and jailbreaks with dynamic schema adaptation. Provides prompts for different LLMs using an enum-based approach.</description></resource>
  <resource slug="awesome-clj-kondo-mcp" kind="mcp-server"><name>clj-kondo-MCP</name><url>https://github.com/Bigsy/clj-kondo-MCP</url><description>Clojure linter</description></resource>
  <resource slug="awesome-clojars" kind="mcp-server"><name>Clojars</name><url>https://github.com/Bigsy/Clojars-MCP-Server</url><description>Obtains latest dependency details for Clojure libraries.</description></resource>
  <resource slug="awesome-clojure-mcp" kind="mcp-server"><name>clojure-mcp</name><url>https://github.com/bhauman/clojure-mcp</url><description>Clojure development tools, direct access to the running program via REPL.</description></resource>
  <resource slug="awesome-cockroachdb" kind="mcp-server"><name>CockroachDB</name><url>https://github.com/amineelkouhen/mcp-cockroachdb</url><description>A Model Context Protocol server for managing, monitoring, and querying data in CockroachDB.</description></resource>
  <resource slug="awesome-codesys-mcp-toolkit" kind="mcp-server"><name>Codesys-mcp-toolkit</name><url>https://github.com/johannesPettersson80/codesys-mcp-toolkit</url><description>A Model Context Protocol (MCP) server for CODESYS V3 programming environments.</description></resource>
  <resource slug="awesome-coincap" kind="mcp-server"><name>CoinCap</name><url>https://github.com/QuantGeekDev/coincap-mcp</url><description>A MCP server that provides real-time cryptocurrency market data through CoinCap's public API without requiring authentication</description></resource>
  <resource slug="awesome-creatify" kind="mcp-server"><name>Creatify</name><url>https://github.com/TSavo/creatify-mcp</url><description>MCP Server that exposes Creatify AI API capabilities for AI video generation, including avatar videos, URL-to-video conversion, text-to-speech, and AI-powered editing tools.</description></resource>
  <resource slug="awesome-contentful" kind="mcp-server"><name>Contentful</name><url>https://github.com/ivo-toby/contentful-mcp</url><description>Interact with your content on the Contentful platform</description></resource>
  <resource slug="awesome-consult7" kind="mcp-server"><name>consult7</name><url>https://github.com/szeider/consult7</url><description>Analyze large codebases and document collections using high-context models via OpenRouter, OpenAI, or Google AI -- very useful, e.g., with Claude Code</description></resource>
  <resource slug="awesome-data-exploration" kind="mcp-server"><name>Data Exploration</name><url>https://github.com/reading-plus-ai/mcp-server-data-exploration</url><description>MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.</description></resource>
  <resource slug="awesome-dropbin" kind="mcp-server"><name>DropBin</name><url>https://dropbin.org/mcp</url><description>Remote SSE MCP server for hosting HTML webpages and sharing content through temporary URLs without authentication</description></resource>
  <resource slug="awesome-database" kind="mcp-server"><name>Database</name><url>https://github.com/TheRaLabs/legion-mcp</url><description>(by Legion AI) - Universal database MCP server supporting multiple database types including PostgreSQL, Redshift, CockroachDB, MySQL, RDS MySQL, Microsoft SQL Server, BigQuery, Oracle DB, and SQLite</description></resource>
  <resource slug="awesome-druid-mcp-server" kind="mcp-server"><name>Druid MCP Server</name><url>https://github.com/iunera/druid-mcp-server</url><description>STDIO/SEE MCP Server for Apache Druid by iunera that provides extensive tools, resources, and prompts for managing and analyzing Druid clusters.</description></resource>
  <resource slug="awesome-dbt-docs" kind="mcp-server"><name>dbt-docs</name><url>https://github.com/mattijsdp/dbt-docs-mcp</url><description>MCP server for dbt-core (OSS) users as the official dbt MCP only supports dbt Cloud. Supports project metadata, model and column-level lineage and dbt documentation.</description></resource>
  <resource slug="awesome-deepview-mcp" kind="mcp-server"><name>DeepView MCP</name><url>https://github.com/ai-1st/deepview-mcp</url><description>Enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini's 1M context window.</description></resource>
  <resource slug="awesome-digitalocean-mcp-server" kind="mcp-server"><name>DigitalOcean MCP Server</name><url>https://github.com/rohit-kaundal/digitalocean-mcp-server</url><description>A Model Context Protocol (MCP) server that provides programmatic access to DigitalOcean's API. This server exposes tools for managing droplets, Kubernetes clusters, and container registries through the MCP interface.</description></resource>
  <resource slug="awesome-difyworkflow" kind="mcp-server"><name>DifyWorkflow</name><url>https://github.com/gotoolkits/mcp-difyworkflow-server</url><description>Tools to the query and execute of Dify workflows</description></resource>
  <resource slug="awesome-django-rest-framework-mcp" kind="mcp-server"><name>Django REST Framework MCP</name><url>https://github.com/zacharypodbela/djangorestframework-mcp</url><description>Expose Django REST Framework APIs as MCP tools for LLMs and agentic applications</description></resource>
  <resource slug="awesome-docker" kind="mcp-server"><name>Docker</name><url>https://github.com/QuantGeekDev/docker-mcp</url><description>Run and manage docker containers, docker compose, and logs</description></resource>
  <resource slug="awesome-dolt" kind="mcp-server"><name>Dolt</name><url>https://github.com/dolthub/dolt-mcp</url><description>The official MCP server for version-controlled Dolt databases.</description></resource>
  <resource slug="awesome-dynamodb-toolbox" kind="mcp-server"><name>DynamoDB-Toolbox</name><url>https://www.dynamodbtoolbox.com/docs/databases/actions/mcp-toolkit</url><description>Leverages your Schemas and Access Patterns to interact with your DynamoDB Database using natural language.</description></resource>
  <resource slug="awesome-elisp-dev-mcp" kind="mcp-server"><name>elisp-dev-mcp</name><url>https://github.com/laurynas-biveinis/elisp-dev-mcp</url><description>elisp (Emacs Lisp) development support tools, running in Emacs.</description></resource>
  <resource slug="awesome-email" kind="mcp-server"><name>Email</name><url>https://github.com/Shy2593666979/mcp-server-email</url><description>This server enables users to send emails through various email providers, including Gmail, Outlook, Yahoo, Sina, Sohu, 126, 163, and QQ Mail. It also supports attaching files from specified directories, making it easy to upload attachments </description></resource>
  <resource slug="awesome-email-send-mcp" kind="mcp-server"><name>Email Send MCP</name><url>https://github.com/YUHAI0/email-send-mcp</url><description>A fixed one from above one. More user-friendly.</description></resource>
  <resource slug="awesome-everything-search" kind="mcp-server"><name>Everything Search</name><url>https://github.com/mamertofabian/mcp-everything-search</url><description>Fast Windows file search using Everything SDK</description></resource>
  <resource slug="awesome-fast-filesystem-mcp" kind="mcp-server"><name>fast-filesystem-mcp</name><url>https://github.com/efforthye/fast-filesystem-mcp</url><description>Advanced filesystem operations with large file handling capabilities and Claude-optimized features. Provides fast file reading/writing, sequential reading for large files, directory operations, file search, and streaming writes with backup </description></resource>
  <resource slug="awesome-excel" kind="mcp-server"><name>Excel</name><url>https://github.com/haris-musa/excel-mcp-server</url><description>Excel manipulation including data reading/writing, worksheet management, formatting, charts, and pivot table</description></resource>
  <resource slug="awesome-facebook-ads" kind="mcp-server"><name>Facebook Ads</name><url>https://github.com/gomarble-ai/facebook-ads-mcp-server</url><description>MCP server acting as an interface to the Facebook Ads, enabling programmatic access to Facebook Ads data and management features.</description></resource>
  <resource slug="awesome-facebook-ads-library" kind="mcp-server"><name>Facebook Ads Library</name><url>https://github.com/trypeggy/facebook-ads-library-mcp</url><description>Get any answer from the Facebook Ads Library, conduct deep research including messaging, creative testing and comparisons in seconds.</description></resource>
  <resource slug="awesome-fathom-analytics" kind="mcp-server"><name>Fathom Analytics</name><url>https://github.com/mackenly/mcp-fathom-analytics</url><description>Access and analyze Fathom Analytics data and reports</description></resource>
  <resource slug="awesome-files" kind="mcp-server"><name>Files</name><url>https://github.com/flesler/mcp-files</url><description>Enables agents to quickly find and edit code in a codebase with surgical precision. Find symbols, edit them everywhere.</description></resource>
  <resource slug="awesome-fhir-mcp" kind="mcp-server"><name>FHIR MCP</name><url>https://github.com/the-momentum/fhir-mcp-server</url><description>MCP Server that connects AI agents to FHIR servers</description></resource>
  <resource slug="awesome-filescopemcp" kind="mcp-server"><name>FileScopeMCP</name><url>https://github.com/admica/FileScopeMCP</url><description>Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores per file, helping AI assistants understand the codebase. Automatically parses popular programming languages, Pyth</description></resource>
  <resource slug="awesome-frankfurtermcp" kind="mcp-server"><name>FrankfurterMCP</name><url>https://github.com/anirbanbasu/frankfurtermcp</url><description>MCP server acting as an interface to the Frankfurter API for currency exchange data.</description></resource>
  <resource slug="awesome-gdb" kind="mcp-server"><name>GDB</name><url>https://github.com/pansila/mcp_server_gdb</url><description>A GDB/MI protocol server based on the MCP protocol, providing remote application debugging capabilities with AI assistants.</description></resource>
  <resource slug="awesome-gemsuite" kind="mcp-server"><name>Gemsuite</name><url>https://github.com/PV-Bhat/gemsuite-mcp</url><description>The ultimate open-source server for advanced Gemini API interaction with MCP, intelligently selects models.</description></resource>
  <resource slug="awesome-gentoro" kind="mcp-server"><name>Gentoro</name><url>https://github.com/gentoro-GT/mcp-nodejs-server</url><description>Gentoro generates MCP Servers based on OpenAPI specifications.</description></resource>
  <resource slug="awesome-godoc-mcp-server" kind="mcp-server"><name>godoc-mcp-server</name><url>https://github.com/yikakia/godoc-mcp-server</url><description>MCP server to provide golang packages and their information from pkg.go.dev</description></resource>
  <resource slug="awesome-godot-mcp" kind="mcp-server"><name>Godot MCP</name><url>https://github.com/Coding-Solo/godot-mcp</url><description>MCP server for interacting with the Godot game engine, providing tools for editing, running, debugging, and managing scenes in Godot projects.</description></resource>
  <resource slug="awesome-google-ads" kind="mcp-server"><name>Google Ads</name><url>https://github.com/gomarble-ai/google-ads-mcp-server</url><description>MCP server acting as an interface to the Google Ads, enabling programmatic access to Google Ads data and management features.</description></resource>
  <resource slug="awesome-google-admin-mcp" kind="mcp-server"><name>Google Admin MCP</name><url>https://github.com/securityfortech/google-admin-mcp</url><description>A Model Context Protocol (MCP) server enabling interaction with Google Admin APIs.</description></resource>
  <resource slug="awesome-google-keep" kind="mcp-server"><name>Google Keep</name><url>https://github.com/feuerdev/keep-mcp</url><description>Read, create, update and delete Google Keep notes.</description></resource>
  <resource slug="awesome-google-news" kind="mcp-server"><name>Google News</name><url>https://github.com/ChanMeng666/server-google-news</url><description>Google News search capabilities with automatic topic categorization and multi-language support via SerpAPI integration.</description></resource>
  <resource slug="awesome-google-pse-cse" kind="mcp-server"><name>Google PSE/CSE</name><url>https://github.com/rendyfebry/google-pse-mcp</url><description>A Model Context Protocol (MCP) server providing access to Google Programmable Search Engine (PSE) and Custom Search Engine (CSE).</description></resource>
  <resource slug="awesome-google-search-console" kind="mcp-server"><name>Google Search Console</name><url>https://github.com/ahonn/mcp-server-gsc</url><description>A Model Context Protocol (MCP) server providing access to Google Search Console.</description></resource>
  <resource slug="awesome-github-repos-manager-mcp-server" kind="mcp-server"><name>GitHub Repos Manager MCP Server</name><url>https://github.com/kurdin/github-repos-manager-mcp</url><description>Token-based GitHub automation management. No Docker, Flexible configuration, 80+ tools with direct API integration.</description></resource>
  <resource slug="awesome-gotoolkits-wecombot" kind="mcp-server"><name>gotoolkits/wecombot</name><url>https://github.com/gotoolkits/mcp-wecombot-server.git</url><description>🏎️ ☁️ An MCP server application that sends various types of messages to the WeCom group robot.</description></resource>
  <resource slug="awesome-gru-sandbox" kind="mcp-server"><name>Gru Sandbox</name><url>https://github.com/babelcloud/gru-sandbox</url><description>Gru-sandbox(gbox) is an open source project that provides a self-hostable sandbox for MCP integration or other AI agent usecases.</description></resource>
  <resource slug="awesome-gx-mcp-server" kind="mcp-server"><name>gx-mcp-server</name><url>https://github.com/davidf9999/gx-mcp-server</url><description>Expose Great Expectations data validation and</description></resource>
  <resource slug="awesome-gxtract" kind="mcp-server"><name>GXtract</name><url>https://github.com/sascharo/gxtract</url><description>GXtract is a MCP server designed to integrate with VS Code and other compatible editors (documentation: sascharo.github.io/gxtract). It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerf</description></resource>
  <resource slug="awesome-hackmd" kind="mcp-server"><name>HackMD</name><url>https://github.com/yuna0x0/hackmd-mcp</url><description>A Model Context Protocol server for integrating HackMD's note-taking platform with AI assistants.</description></resource>
  <resource slug="awesome-hal" kind="mcp-server"><name>HAL</name><url>https://github.com/dean/HAL</url><description>HTTP toolkit providing all 7 HTTP methods (GET, POST, PUT, PATCH, DELETE, HEAD, OPTIONS) with secret substitution, comprehensive error handling, and support for JSON, XML, HTML, and form data.</description></resource>
  <resource slug="awesome-hap-mcp" kind="mcp-server"><name>HAP-MCP</name><url>https://github.com/mingdaocloud/hap-mcp.git</url><description>HAP (Super Application Platform) is developed by Mingdao（ https://www.mingdao.com ）The launched APaaS platform helps you build enterprise level applications quickly without coding. This is HAP's MCP (Model Context Protocol) server, used for</description></resource>
  <resource slug="awesome-hetzner-cloud-mcp-server" kind="mcp-server"><name>Hetzner Cloud MCP Server</name><url>https://github.com/dkruyt/mcp-hetzner</url><description>A Model Context Protocol (MCP) server for interacting with the Hetzner Cloud API. This server allows language models to manage Hetzner Cloud resources through structured functions.</description></resource>
  <resource slug="awesome-hippycampus" kind="mcp-server"><name>Hippycampus</name><url>https://github.com/cromwellian/hippycampus</url><description>Turns any Swagger/OpenAPI REST endpoint with a yaml/json definition into an MCP Server with Langchain/Langflow integration automatically.</description></resource>
  <resource slug="awesome-home-assistant" kind="mcp-server"><name>Home Assistant</name><url>https://github.com/voska/hass-mcp</url><description>Interact with Home Assistant to control smart home devices, query states, manage automations, and troubleshoot your smart home setup.</description></resource>
  <resource slug="awesome-homey" kind="mcp-server"><name>Homey</name><url>https://github.com/pigmej/python-homey-mcp</url><description>Interact with Homey to control smart home system. Supports devices, flows, and zones. Contains a few goodies for better integrations with LLMs.</description></resource>
  <resource slug="awesome-homebrew-mcp" kind="mcp-server"><name>Homebrew MCP</name><url>https://github.com/jeannier/homebrew-mcp</url><description>Interact with Homebrew (the package manager for macOS and Linux) using natural language commands.</description></resource>
  <resource slug="awesome-huggingface-spaces" kind="mcp-server"><name>HuggingFace Spaces</name><url>https://github.com/evalstate/mcp-hfspace</url><description>Server for using HuggingFace Spaces, supporting Images, Audio, Text and more. Claude Desktop mode for ease-of-use.</description></resource>
  <resource slug="awesome-imagician" kind="mcp-server"><name>Imagician</name><url>https://github.com/flowy11/imagician</url><description>A MCP server for comprehensive image editing operations including resizing, format conversion, cropping, compression, and more based on sharp.</description></resource>
  <resource slug="awesome-imagesorcery-mcp" kind="mcp-server"><name>ImageSorcery MCP</name><url>https://github.com/sunriseapps/imagesorcery-mcp</url><description>ComputerVision-based 🪄 sorcery of image recognition and editing tools for AI assistants.</description></resource>
  <resource slug="awesome-imap-mcp" kind="mcp-server"><name>IMAP MCP</name><url>https://github.com/dominik1001/imap-mcp</url><description>📧 An IMAP Model Context Protocol (MCP) server to expose IMAP operations as tools for AI assistants.</description></resource>
  <resource slug="awesome-instagram-dms" kind="mcp-server"><name>Instagram DMs</name><url>https://github.com/trypeggy/instagram_dm_mcp</url><description>Send Instagram DMs via your LLM</description></resource>
  <resource slug="awesome-interactive-mcp" kind="mcp-server"><name>interactive-mcp</name><url>https://github.com/ttommyth/interactive-mcp</url><description>📇 - Enables interactive LLM workflows by adding local user prompts and chat capabilities directly into the MCP loop.</description></resource>
  <resource slug="awesome-irulescan-mcp" kind="mcp-server"><name>irulescan MCP</name><url>https://github.com/simonkowallik/irulescan</url><description>:shield: MCP enabled code security analyzer for F5 iRules</description></resource>
  <resource slug="awesome-aymericzip-intlayer" kind="mcp-server"><name>aymericzip/intlayer</name><url>https://github.com/aymericzip/intlayer</url><description>A MCP Server that enhance your IDE with AI-powered assistance for Intlayer i18n / CMS tool: smart CLI access, versioned docs.</description></resource>
  <resource slug="awesome-ida-pro-mcp" kind="mcp-server"><name>IDA Pro MCP</name><url>https://github.com/mrexodia/ida-pro-mcp</url><description>MCP Server for automated reverse engineering with IDA Pro.</description></resource>
  <resource slug="awesome-israel-statistics-mcp" kind="mcp-server"><name>Israel Statistics MCP</name><url>https://github.com/reuvenaor/israel-statistics-mcp</url><description>MCP server that provides programmatic access to the Israeli Central Bureau of Statistics (CBS) price indices and economic data.</description></resource>
  <resource slug="awesome-jean-memory" kind="mcp-server"><name>Jean Memory</name><url>https://github.com/jonathan-politzki/your-memory</url><description>Premium memory consistent across all AI applications.</description></resource>
  <resource slug="awesome-jina-reader" kind="mcp-server"><name>Jina Reader</name><url>https://github.com/wong2/mcp-jina-reader</url><description>Fetch the content of a remote URL as Markdown with Jina Reader.</description></resource>
  <resource slug="awesome-jira-context-mcp" kind="mcp-server"><name>Jira Context MCP</name><url>https://github.com/rahulthedevil/Jira-Context-MCP</url><description>MCP server to provide Jira Tickets information to AI coding agents like Cursor.</description></resource>
  <resource slug="awesome-jira-mcp-server" kind="mcp-server"><name>Jira MCP Server</name><url>https://github.com/ahmetbarut/jira-mcp</url><description>A modular and extensible MCP server designed to interact with Jira Cloud, providing tools to query boards, issues, and user data — ideal for integrating Jira with AI agents, bots, or automation systems</description></resource>
  <resource slug="awesome-json-mcp" kind="mcp-server"><name>JSON MCP</name><url>https://github.com/VadimNastoyashchy/json-mcp</url><description>MCP server empowers LLMs to interact with JSON files efficiently. With JSON MCP, you can split, merge, etc.</description></resource>
  <resource slug="awesome-just-every-mcp-read-website-fast" kind="mcp-server"><name>just-every/mcp-read-website-fast</name><url>https://github.com/just-every/mcp-read-website-fast</url><description>Fast, token-efficient web content extraction that converts websites to clean Markdown. Features Mozilla Readability, smart caching, polite crawling with robots.txt support, and concurrent fetching with minimal dependencies.</description></resource>
  <resource slug="awesome-just-every-mcp-screenshot-website-fast" kind="mcp-server"><name>just-every/mcp-screenshot-website-fast</name><url>https://github.com/just-every/mcp-screenshot-website-fast</url><description>High-quality screenshot capture optimized for Claude Vision API. Automatically tiles full pages into 1072x1072 chunks (1.15 megapixels) with configurable viewports and wait strategies for dynamic content.</description></resource>
  <resource slug="awesome-kagi" kind="mcp-server"><name>Kagi</name><url>https://github.com/ac3xx/mcp-servers-kagi</url><description>Kagi search API integration</description></resource>
  <resource slug="awesome-keycloak-mcp-server" kind="mcp-server"><name>Keycloak MCP Server</name><url>https://github.com/sshaaf/keycloak-mcp-server</url><description>designed to work with Keycloak for identity and access management, with about 40+ tools covering, Users, Realms, Clients, Roles, Groups, IDPs, Authentication. Native builds available.</description></resource>
  <resource slug="awesome-kubernetes" kind="mcp-server"><name>Kubernetes</name><url>https://github.com/Flux159/mcp-server-kubernetes</url><description>Connect to Kubernetes cluster and manage pods, deployments, services.</description></resource>
  <resource slug="awesome-language-server" kind="mcp-server"><name>Language Server</name><url>https://github.com/isaacphi/mcp-language-server</url><description>🏎️ - MCP Language Server gives MCP enabled clients access to semantic tools like get definition, references, rename, and diagnostics.</description></resource>
  <resource slug="awesome-latex-mcp-server" kind="mcp-server"><name>Latex MCP Server</name><url>https://github.com/Yeok-c/latex-mcp-server</url><description>MCP Server to compile latex, download/organize/read cited papers, run visualization scripts and add figures/tables to latex.</description></resource>
  <resource slug="awesome-lazy-toggl-mcp" kind="mcp-server"><name>Lazy Toggl MCP</name><url>https://github.com/movstox/lazy-toggl-mcp</url><description>Simple unofficial MCP server to track time via Toggl API</description></resource>
  <resource slug="awesome-libsql-by-xexr" kind="mcp-server"><name>libSQL by xexr</name><url>https://github.com/Xexr/mcp-libsql</url><description>MCP server for libSQL databases with comprehensive security and management tools. Supports file, local HTTP, and remote Turso databases with connection pooling, transaction support, and 6 specialized database tools.</description></resource>
  <resource slug="awesome-linear" kind="mcp-server"><name>Linear</name><url>https://github.com/tacticlaunch/mcp-linear</url><description>Integrates with Linear project management systems.</description></resource>
  <resource slug="awesome-llm-context" kind="mcp-server"><name>llm-context</name><url>https://github.com/cyberchitta/llm-context.py</url><description>Share code context with LLMs via Model Context Protocol or clipboard.</description></resource>
  <resource slug="awesome-lunchmoney" kind="mcp-server"><name>LunchMoney</name><url>https://github.com/akutishevsky/lunchmoney-mcp</url><description>MCP server for LunchMoney personal finance and budgeting tool.</description></resource>
  <resource slug="awesome-local-history-mcp" kind="mcp-server"><name>Local History MCP</name><url>https://github.com/xxczaki/local-history-mcp</url><description>MCP server for accessing VS Code/Cursor's Local History.</description></resource>
  <resource slug="awesome-magg" kind="mcp-server"><name>🧲 Magg 🧲</name><url>https://github.com/sitbon/magg</url><description>A meta-MCP server that acts as a universal hub, allowing LLMs to autonomously discover, install, and orchestrate multiple MCP servers - essentially giving AI assistants the power to extend their own capabilities on-demand.</description></resource>
  <resource slug="awesome-maven" kind="mcp-server"><name>Maven</name><url>https://github.com/Bigsy/maven-mcp-server</url><description>Tools to query latest Maven dependency information</description></resource>
  <resource slug="awesome-maven-tools" kind="mcp-server"><name>Maven Tools</name><url>https://github.com/arvindand/maven-tools-mcp</url><description>Enhanced Maven Central integration with intelligent caching, bulk operations, and version classification</description></resource>
  <resource slug="awesome-maya-mcp" kind="mcp-server"><name>Maya MCP</name><url>https://github.com/PatrickPalmer/MayaMCP</url><description>MCP server for Autodesk Maya</description></resource>
  <resource slug="awesome-mcpjungle" kind="mcp-server"><name>MCPJungle</name><url>https://github.com/mcpjungle/MCPJungle</url><description>🌳 - Open-source, Self-hosted MCP server Gateway that connects your AI Agents to MCP Servers (for developers and enterprises)</description></resource>
  <resource slug="awesome-microsoft-365" kind="mcp-server"><name>Microsoft 365</name><url>https://github.com/softeria/ms-365-mcp-server</url><description>📇 ☁️ - MCP server that connects to the whole Microsoft 365 suite (Microsoft Office, Outlook, Excel) using Graph API (including mail, files, calendar)</description></resource>
  <resource slug="awesome-microsoft-entra-id-mcp-server" kind="mcp-server"><name>Microsoft Entra ID MCP Server</name><url>https://github.com/hieuttmmo/entraid-mcp-server</url><description>A Python MCP server for Microsoft Entra ID (Azure AD) directory, user, group, device, sign-in, and security operations via Microsoft Graph.</description></resource>
  <resource slug="awesome-mcp-aggregator" kind="mcp-server"><name>MCP Aggregator</name><url>https://github.com/nazar256/combine-mcp</url><description>An MCP (Model Context Protocol) aggregator that allows you to combine multiple MCP servers into a single endpoint allowing to filter specific tools.</description></resource>
  <resource slug="awesome-mcp-cli-adapter" kind="mcp-server"><name>MCP-CLI Adapter</name><url>https://github.com/inercia/mcp-cli-adapter</url><description>Use command line tools in a secure fashion as MCP tools.</description></resource>
  <resource slug="awesome-mcp-expr-lang" kind="mcp-server"><name>MCP Expr Lang</name><url>https://github.com/ivan-saorin/mcp-expr-lang</url><description>MCP Expr-Lang provides a seamless integration between Claude AI and the powerful expr-lang expression evaluation engine.</description></resource>
  <resource slug="awesome-mcp-installer" kind="mcp-server"><name>MCP Installer</name><url>https://github.com/anaisbetts/mcp-installer</url><description>Set up MCP servers in Claude Desktop</description></resource>
  <resource slug="awesome-mcp-k8s-go" kind="mcp-server"><name>mcp-k8s-go</name><url>https://github.com/strowk/mcp-k8s-go</url><description>Golang-based Kubernetes MCP Server. Built to be extensible.</description></resource>
  <resource slug="awesome-mkp" kind="mcp-server"><name>MKP</name><url>https://github.com/StacklokLabs/mkp</url><description>Model Kontext Protocol Server for Kubernetes that allows LLM-powered applications to interact with Kubernetes clusters through native Go implementation with direct API integration and comprehensive resource management.</description></resource>
  <resource slug="awesome-mcp-open-library" kind="mcp-server"><name>MCP Open Library</name><url>https://github.com/8enSmith/mcp-open-library</url><description>A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book and author information.</description></resource>
  <resource slug="awesome-mcp-searxng-enhanced-web-search" kind="mcp-server"><name>MCP-SearXNG-Enhanced Web Search</name><url>https://github.com/OvertliDS/mcp-searxng-enhanced</url><description>An enhanced MCP server for SearXNG web searching, utilizing a category-aware web-search, web-scraping, and includes a date/time retrieval tool.</description></resource>
  <resource slug="awesome-mermaid" kind="mcp-server"><name>Mermaid</name><url>https://github.com/hustcc/mcp-mermaid</url><description>Generate mermaid diagram and chart with AI MCP dynamically.</description></resource>
  <resource slug="awesome-memory-plus" kind="mcp-server"><name>Memory-Plus</name><url>https://github.com/Yuchen20/Memory-Plus</url><description>a lightweight, local RAG memory store to record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who wants th</description></resource>
  <resource slug="awesome-meta-ads-remote-mcp" kind="mcp-server"><name>Meta Ads Remote MCP</name><url>https://github.com/pipeboard-co/meta-ads-mcp</url><description>Remote MCP server to interact with Meta Ads API - access, analyze, and manage Facebook, Instagram, and other Meta platforms advertising campaigns.</description></resource>
  <resource slug="awesome-minima" kind="mcp-server"><name>Minima</name><url>https://github.com/dmayboroda/minima</url><description>Local RAG (on-premises) with MCP server.</description></resource>
  <resource slug="awesome-mintmcp" kind="mcp-server"><name>MintMCP</name><url>https://github.com/mintmcp/servers</url><description>MCP servers for Google Calendar, Gmail, Outlook Calendar, and Outlook.</description></resource>
  <resource slug="awesome-mongo" kind="mcp-server"><name>Mongo</name><url>https://github.com/QuantGeekDev/mongo-mcp</url><description>A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases</description></resource>
  <resource slug="awesome-mongodb" kind="mcp-server"><name>MongoDB</name><url>https://github.com/kiliczsh/mcp-mongo-server</url><description>A Model Context Protocol Server for MongoDB</description></resource>
  <resource slug="awesome-mongodb-lens" kind="mcp-server"><name>MongoDB Lens</name><url>https://github.com/furey/mongodb-lens</url><description>Full Featured MCP Server for MongoDB Database.</description></resource>
  <resource slug="awesome-miro" kind="mcp-server"><name>Miro</name><url>https://github.com/k-jarzyna/mcp-miro</url><description>Miro MCP server, exposing all functionalities available in official Miro SDK.</description></resource>
  <resource slug="awesome-multi-chat-mcp-server-google-chat" kind="mcp-server"><name>Multi Chat MCP Server (Google Chat)</name><url>https://github.com/siva010928/multi-chat-mcp-server</url><description>Connect AI assistants like Cursor to Google Chat and beyond — enabling smart, extensible collaboration across chat platforms.</description></resource>
  <resource slug="awesome-mysql" kind="mcp-server"><name>MySQL</name><url>https://github.com/designcomputer/mysql_mcp_server</url><description>MySQL database integration with configurable access controls and schema inspection</description></resource>
  <resource slug="awesome-nanoleaf" kind="mcp-server"><name>Nanoleaf</name><url>https://github.com/srnetadmin/nanoleaf-mcp-server</url><description>Control Nanoleaf smart lights through MCP - turn on/off, adjust brightness, change colors, set effects, and discover devices</description></resource>
  <resource slug="awesome-netbird" kind="mcp-server"><name>Netbird</name><url>https://github.com/aantti/mcp-netbird</url><description>List and analyze Netbird network peers, groups, policies, and more.</description></resource>
  <resource slug="awesome-nextcloud-calendar" kind="mcp-server"><name>Nextcloud Calendar</name><url>https://github.com/Cheffromspace/mcp-nextcloud-calendar</url><description>CalDAV Nectcloud calendar integration. Manage calendars, events, attendees, etc.</description></resource>
  <resource slug="awesome-nexus" kind="mcp-server"><name>Nexus</name><url>https://github.com/adawalli/nexus</url><description>Web search server that integrates Perplexity Sonar models via OpenRouter API for real-time, context-aware search with citations</description></resource>
  <resource slug="awesome-nile-postgres" kind="mcp-server"><name>Nile Postgres</name><url>https://github.com/niledatabase/nile-mcp-server</url><description>Manage and query databases, tenants, users, auth using LLMs</description></resource>
  <resource slug="awesome-nocodb" kind="mcp-server"><name>NocoDB</name><url>https://github.com/edwinbernadus/nocodb-mcp-server</url><description>Manage NocoDB server, support read and write databases</description></resource>
  <resource slug="awesome-nodecodestudio" kind="mcp-server"><name>NodeCodeStudio</name><url>https://nodecodestudio.com</url><description>Activate MCP services (Gmail, Calendar, WordPress, etc.) and run browser automation workflows via a Chrome extension with importable sequences</description></resource>
  <resource slug="awesome-npm-search" kind="mcp-server"><name>NPM Search</name><url>https://github.com/btwiuse/npm-search-mcp-server</url><description>Search for npm packages</description></resource>
  <resource slug="awesome-ntfy" kind="mcp-server"><name>Ntfy</name><url>https://github.com/gitmotion/ntfy-me-mcp</url><description>An ntfy MCP server for sending/fetching ntfy notifications to your self-hosted ntfy server from AI Agents 📤 (supports secure token auth &amp; more - use with npx or docker!)</description></resource>
  <resource slug="awesome-obsidian" kind="mcp-server"><name>Obsidian</name><url>https://github.com/MarkusPfundstein/mcp-obsidian</url><description>Interacting with Obsidian via REST API</description></resource>
  <resource slug="awesome-odoo" kind="mcp-server"><name>Odoo</name><url>https://github.com/ivnvxd/mcp-server-odoo</url><description>Connect AI assistants to Odoo ERP systems for business data access and workflow automation.</description></resource>
  <resource slug="awesome-osv" kind="mcp-server"><name>OSV</name><url>https://github.com/StacklokLabs/osv-mcp</url><description>Access the OSV (Open Source Vulnerabilities) database for vulnerability information. Query vulnerabilities by package version or commit, batch query multiple packages, and get detailed vulnerability information by ID.</description></resource>
  <resource slug="awesome-openai" kind="mcp-server"><name>OpenAI</name><url>https://github.com/pierrebrunelle/mcp-server-openai</url><description>Query OpenAI models directly from Claude using MCP protocol</description></resource>
  <resource slug="awesome-openapi-schema-explorer" kind="mcp-server"><name>OpenAPI Schema Explorer</name><url>https://github.com/kadykov/mcp-openapi-schema-explorer</url><description>Token-efficient access to OpenAPI/Swagger specs via MCP Resources</description></resource>
  <resource slug="awesome-openmf-mifosx-self-service" kind="mcp-server"><name>OpenMF-mifosx-self-service</name><url>https://github.com/openMF/mcp-mifosx-self-service</url><description>Access Apache Fineract self-service APIs for registration, authentication, account management, and transactions via MCP.</description></resource>
  <resource slug="awesome-package-registry-search" kind="mcp-server"><name>Package Registry Search</name><url>https://github.com/artmann/package-registry-mcp</url><description>Search and get up-to-date information about NPM, Cargo, PyPi, and NuGet packages.</description></resource>
  <resource slug="awesome-pandoc" kind="mcp-server"><name>Pandoc</name><url>https://github.com/vivekVells/mcp-pandoc</url><description>MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, and plain text, with other formats like PDF, csv and docx in development.</description></resource>
  <resource slug="awesome-paperless-mcp" kind="mcp-server"><name>Paperless-MCP</name><url>https://github.com/baruchiro/paperless-mcp</url><description>An MCP server for interacting with a Paperless-NGX API server. This server provides tools for managing documents, tags, correspondents, and document types in your Paperless-NGX instance.</description></resource>
  <resource slug="awesome-pbs-api" kind="mcp-server"><name>PBS API</name><url>https://github.com/matthewdcage/pbs-mcp-server</url><description>🐍 ☁️ Access Australian Pharmaceutical Benefits Scheme data for medicine information, pricing, and availability. Built with Python and FastAPI.</description></resource>
  <resource slug="awesome-peekaboo" kind="mcp-server"><name>Peekaboo</name><url>https://github.com/steipete/Peekaboo</url><description>a macOS-only MCP server that enables AI agents to capture screenshots of applications, or the entire system.</description></resource>
  <resource slug="awesome-peliqan" kind="mcp-server"><name>Peliqan</name><url>https://github.com/Peliqan-io/mcp-server-peliqan</url><description>Data platform with ETL and built-in data warehouse, access all business applications (ERP, CRM, Accounting etc.) via MCP and run queries on your business data.</description></resource>
  <resource slug="awesome-perplexity" kind="mcp-server"><name>Perplexity</name><url>https://github.com/tanigami/mcp-server-perplexity</url><description>Interacting with Perplexity</description></resource>
  <resource slug="awesome-poland-krs" kind="mcp-server"><name>Poland KRS</name><url>https://github.com/pkolawa/krs-poland-mcp-server</url><description>Access to Polish National Court Register (KRS)—the government's authoritative registry of all businesses, foundations, and other legal entities.</description></resource>
  <resource slug="awesome-pollinations" kind="mcp-server"><name>Pollinations</name><url>https://github.com/pollinations/model-context-protocol</url><description>Multimodal MCP server for generating images, audio, and text with no authentication required</description></resource>
  <resource slug="awesome-phabricator" kind="mcp-server"><name>Phabricator</name><url>https://github.com/baba786/phabricator-mcp-server</url><description>Interacting with Phabricator API</description></resource>
  <resource slug="awesome-piapi" kind="mcp-server"><name>PiAPI</name><url>https://github.com/apinetwork/piapi-mcp-server</url><description>PiAPI MCP server makes user able to generate media content with Midjourney/Flux/Kling/Hunyuan/Udio/Trellis directly from Claude or any other MCP-compatible apps.</description></resource>
  <resource slug="awesome-piloty" kind="mcp-server"><name>PiloTY</name><url>https://github.com/yiwenlu66/PiloTY</url><description>AI pilot for PTY operations that enables agents to control interactive terminals with stateful sessions, SSH connections, and background process management</description></resource>
  <resource slug="awesome-playwright-mcp-server" kind="mcp-server"><name>Playwright MCP Server</name><url>https://github.com/executeautomation/mcp-playwright</url><description>An MCP server using Playwright for browser automation and webscrapping</description></resource>
  <resource slug="awesome-project-manager" kind="mcp-server"><name>Project Manager</name><url>https://github.com/croffasia/mcp-project-manager</url><description>Hierarchical task management (ideas → epics → tasks) with CLI dashboard</description></resource>
  <resource slug="awesome-public-apis-mcp" kind="mcp-server"><name>Public APIs MCP</name><url>https://github.com/zazencodes/public-apis-mcp</url><description>Search for free APIs using MCP.</description></resource>
  <resource slug="awesome-quantconnect" kind="mcp-server"><name>QuantConnect</name><url>https://github.com/QuantConnect/mcp-server</url><description>Dockerized Python MCP server that lets LLMs like Claude or OpenAI o3 Pro autonomously create projects, backtest strategies, and deploy live-trading workflows via the QuantConnect API.</description></resource>
  <resource slug="awesome-qgis" kind="mcp-server"><name>QGIS</name><url>https://github.com/jjsantos01/qgis_mcp</url><description>connects QGIS Desktop to Claude AI through the MCP. This integration enables prompt-assisted project creation, layer loading, code execution, and more.</description></resource>
  <resource slug="awesome-random-number" kind="mcp-server"><name>Random Number</name><url>https://github.com/zazencodes/random-number-mcp</url><description>Provides LLMs with essential random generation abilities, built entirely on Python's standard library.</description></resource>
  <resource slug="awesome-repo-map" kind="mcp-server"><name>Repo Map</name><url>https://github.com.mcas.ms/pdavis68/RepoMapper</url><description>🐧 🪟 🍎 - An MCP server (and command-line tool) to provide a dynamic map of chat-related files from the repository with their function prototypes and related files in order of relevance. Based on the "Repo Map" functionality in Aider.chat</description></resource>
  <resource slug="awesome-reloaderoo" kind="mcp-server"><name>Reloaderoo</name><url>https://github.com/cameroncooke/reloaderoo</url><description>A local MCP server for developers that mirrors your in-development MCP server, allowing seamless restarts and tool updates so you can build, test, and iterate on your MCP server within the same AI session without interruption.</description></resource>
  <resource slug="awesome-reminder" kind="mcp-server"><name>Reminder</name><url>https://github.com/arifszn/reminder-mcp</url><description>MCP server for scheduling and triggering reminders via Slack or Telegram.</description></resource>
  <resource slug="awesome-renamify" kind="mcp-server"><name>Renamify</name><url>https://docspring.github.io/renamify/mcp/overview/</url><description>Smart, case-aware search &amp; replace for codebases. Provides atomic renaming of symbols, files, and directories with full undo/redo. The MCP server lets AI assistants plan, preview, and apply rename operations safely, handling all naming conv</description></resource>
  <resource slug="awesome-rootly-ai-labs-rootly-mcp-server" kind="mcp-server"><name>Rootly-AI-Labs/Rootly-MCP-server</name><url>https://github.com/Rootly-AI-Labs/Rootly-MCP-server</url><description>MCP server for the incident management platform Rootly.</description></resource>
  <resource slug="awesome-run-sql-connectorx" kind="mcp-server"><name>run-sql-connectorx</name><url>https://github.com/gigamori/mcp-run-sql-connectorx</url><description>Execute SQL (PostgreSQL, MariaDB, BigQuery, MS SQL Server, RedShift, etc.) via ConnectorX and stream results to CSV/Parquet. MCP tool: runsql.</description></resource>
  <resource slug="awesome-salaah-mcp" kind="mcp-server"><name>Salaah MCP</name><url>https://github.com/yusufk/salaah-mcp</url><description>FastAPI and MCP service providing Islamic prayer times and other useful calculations.</description></resource>
  <resource slug="awesome-scaffold" kind="mcp-server"><name>Scaffold</name><url>https://github.com/Beer-Bears/scaffold</url><description>Scaffold is a Retrieval-Augmented Generation (RAG) system designed to structural understanding of large codebases. It transforms your source code into a living knowledge graph, allowing for precise, context-aware interactions that go far be</description></resource>
  <resource slug="awesome-scan-mcp" kind="mcp-server"><name>scan-mcp</name><url>https://github.com/jacksenechal/scan-mcp</url><description>Minimal MCP server for scanner capture (ADF/duplex/page-size); typed tools; JSON Schema–validated I/O; multipage assembly; Node 22 + SANE.</description></resource>
  <resource slug="awesome-schemacrawler" kind="mcp-server"><name>SchemaCrawler</name><url>https://github.com/schemacrawler/SchemaCrawler-MCP-Server-Usage</url><description>Connect to any relational database, and be able to get valid SQL, and ask questions like what does a certain column prefix mean.</description></resource>
  <resource slug="awesome-schemaflow" kind="mcp-server"><name>SchemaFlow</name><url>https://github.com/CryptoRadi/schemaflow-mcp-server</url><description>Real-time PostgreSQL &amp; Supabase database schema access for AI-IDEs via Model Context Protocol. Provides live database context through secure SSE connections with three powerful tools: getschema, analyzedatabase, and checkschemaalignment. Sc</description></resource>
  <resource slug="awesome-scrapegraphai" kind="mcp-server"><name>ScrapeGraphAI</name><url>https://github.com/ScrapeGraphAI/Scrapegraph-ai</url><description>AI-powered web scraping library that creates scraping pipelines using natural language.- ScrapeGraphAI</description></resource>
  <resource slug="awesome-screeny" kind="mcp-server"><name>Screeny</name><url>https://github.com/rohanrav/screeny</url><description>Privacy-first macOS MCP server that provides visual context for AI agents through window screenshots</description></resource>
  <resource slug="awesome-searxng" kind="mcp-server"><name>SearXNG</name><url>https://github.com/ihor-sokoliuk/mcp-searxng</url><description>A Model Context Protocol Server for SearXNG</description></resource>
  <resource slug="awesome-secure-fetch" kind="mcp-server"><name>Secure Fetch</name><url>https://github.com/appsec-innovation-labs/secure-mcp-fetch</url><description>Secure fetch to prevent access to local resources</description></resource>
  <resource slug="awesome-shadcn-registry-manager" kind="mcp-server"><name>Shadcn Registry Manager</name><url>https://github.com/reuvenaor/shadcn-registry-manager</url><description>MCP server for Shadcn UI, enabling automated, remote, or containerized project management via local or remote registries.</description></resource>
  <resource slug="awesome-shadcn-ui-mcp-server" kind="mcp-server"><name>shadcn-ui-mcp-server</name><url>https://github.com/heilgar/shadcn-ui-mcp-server</url><description>A powerful and flexible MCP server designed to enhance the development experience with Shadcn UI components, providing tools for component management, documentation, and installation.</description></resource>
  <resource slug="awesome-slack" kind="mcp-server"><name>Slack</name><url>https://github.com/korotovsky/slack-mcp-server</url><description>The most powerful MCP server for Slack Workspaces. This integration supports both Stdio and SSE transports, proxy settings and does not require any permissions or bots being created or approved by Workspace admins 😏.</description></resource>
  <resource slug="awesome-slite-mcp" kind="mcp-server"><name>slite-mcp</name><url>https://github.com/fajarmf/slite-mcp</url><description>Model Context Protocol server for Slite integration. Search and retrieve notes, browse note hierarchies, and access content from your Slite workspace.</description></resource>
  <resource slug="awesome-snowflake" kind="mcp-server"><name>Snowflake</name><url>https://github.com/isaacwasserman/mcp-snowflake-server</url><description>Snowflake database integration with read/write capabilities and insight tracking</description></resource>
  <resource slug="awesome-skyvern" kind="mcp-server"><name>Skyvern</name><url>https://github.com/Skyvern-AI/skyvern/tree/main/integrations/mcp</url><description>MCP Server to let Claude / your AI control the browser</description></resource>
  <resource slug="awesome-sonatype-mcp-server" kind="mcp-server"><name>Sonatype MCP Server</name><url>https://github.com/brianveltman/sonatype-mcp</url><description>MCP for Sonatype Nexus Repository Manager and Sonatype Repository Firewall. Manage your DevSecOps practices through AI-assisted Workflows.</description></resource>
  <resource slug="awesome-sourcerer" kind="mcp-server"><name>Sourcerer</name><url>https://github.com/st3v3nmw/sourcerer-mcp</url><description>MCP for semantic code search &amp; navigation that reduces token waste</description></resource>
  <resource slug="awesome-spm-mcp" kind="mcp-server"><name>spm-mcp</name><url>https://github.com/simpleswift/spm-mcp</url><description>iOS Swift Package Manager server written in Swift</description></resource>
  <resource slug="awesome-spotify-player" kind="mcp-server"><name>Spotify Player</name><url>https://github.com/vsaez/mcp-spotify-player</url><description>Control Spotify playback, queue, volume and playlists from Claude/Cursor via MCP. (Python)</description></resource>
  <resource slug="awesome-sqlite" kind="mcp-server"><name>SQLite</name><url>https://github.com/panasenco/mcp-sqlite</url><description>MCP server for SQLite files. Supports Datasette-compatible metadata!</description></resource>
  <resource slug="awesome-squad-ai" kind="mcp-server"><name>Squad AI</name><url>https://github.com/the-basilisk-ai/squad-mcp</url><description>Product‑discovery and strategy platform integration. Create, query and update opportunities, solutions, outcomes, requirements and feedback from any MCP‑aware LLM.</description></resource>
  <resource slug="awesome-storyblok" kind="mcp-server"><name>Storyblok</name><url>https://github.com/Kiran1689/storyblok-mcp-server</url><description>Storyblok MCP server enables your AI assistants to directly access and manage your Storyblok spaces, stories, components, assets, workflows, and more.</description></resource>
  <resource slug="awesome-svelte-documentation" kind="mcp-server"><name>Svelte Documentation</name><url>https://github.com/khromov/llmctx</url><description>Remote server (SSE/Streamable) for the latest Svelte and SvelteKit documentation</description></resource>
  <resource slug="awesome-task-orchestrator" kind="mcp-server"><name>Task Orchestrator</name><url>https://github.com/EchoingVesper/mcp-task-orchestrator</url><description>AI-powered task orchestration and workflow automation with specialized agent roles, intelligent task decomposition, and seamless integration across Claude Desktop, Cursor IDE, Windsurf, and VS Code.</description></resource>
  <resource slug="awesome-tasks" kind="mcp-server"><name>Tasks</name><url>https://github.com/flesler/mcp-tasks</url><description>An efficient task manager. Designed to minimize tool confusion and maximize LLM budget efficiency while providing powerful search, filtering, and organization capabilities across multiple file formats (Markdown, JSON, YAML)</description></resource>
  <resource slug="awesome-text-to-graphql" kind="mcp-server"><name>Text-To-GraphQL</name><url>https://github.com/Arize-ai/text-to-graphql-mcp</url><description>MCP server for text-to-graphql, integrates with Claude Desktop and Cursor.</description></resource>
  <resource slug="awesome-teamcity" kind="mcp-server"><name>TeamCity</name><url>https://github.com/itcaat/teamcity-mcp</url><description>MCP server for TeamCity, integrates with Claude Desktop and Cursor.</description></resource>
  <resource slug="awesome-tiktok" kind="mcp-server"><name>TikTok</name><url>https://github.com/Seym0n/tiktok-mcp</url><description>TikTok integration for getting post details and video subtitles</description></resource>
  <resource slug="awesome-tmux" kind="mcp-server"><name>Tmux</name><url>https://github.com/nickgnd/tmux-mcp</url><description>Interact with your Tmux sessions, windows and pane, execute commands in tmux panes and retrieve result.</description></resource>
  <resource slug="awesome-todoist" kind="mcp-server"><name>Todoist</name><url>https://github.com/stanislavlysenko0912/todoist-mcp-server</url><description>Full implementation of Todoist Rest API for MCP server</description></resource>
  <resource slug="awesome-trello" kind="mcp-server"><name>Trello</name><url>https://github.com/m0xai/trello-mcp-server</url><description>Trello integration for working with boards, lists in boards and cards in lists.</description></resource>
  <resource slug="awesome-trello-mcp" kind="mcp-server"><name>Trello MCP</name><url>https://github.com/kocakli/Trello-Desktop-MCP</url><description>Trello Desktop MCP server that enables Claude Desktop to interact with Trello boards, cards, lists, and team members through natural language commands.</description></resource>
  <resource slug="awesome-terragrunt-docs" kind="mcp-server"><name>Terragrunt-Docs</name><url>https://github.com/Excoriate/mcp-terragrunt-docs</url><description>Terragrunt documentation always up to date.</description></resource>
  <resource slug="awesome-trino-mcp-server" kind="mcp-server"><name>Trino MCP Server</name><url>https://github.com/tuannvm/mcp-trino</url><description>A Go implementation of a Model Context Protocol (MCP) server for Trino, enabling LLM models to query distributed SQL databases through standardized tools.</description></resource>
  <resource slug="awesome-unified-diff-mcp-server" kind="mcp-server"><name>Unified Diff MCP Server</name><url>https://github.com/gorosun/unified-diff-mcp</url><description>Beautiful HTML and PNG diff visualization using diff2html, designed for filesystem editfile dry-run output with high-performance Bun runtime.</description></resource>
  <resource slug="awesome-unity3d-game-engine" kind="mcp-server"><name>Unity3d Game Engine</name><url>https://github.com/CoderGamester/mcp-unity</url><description>MCP Server to control and interact with Unity3d Game Engine for game development</description></resource>
  <resource slug="awesome-user-feedback" kind="mcp-server"><name>User Feedback</name><url>https://github.com/mrexodia/user-feedback-mcp</url><description>Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.</description></resource>
  <resource slug="awesome-user-prompt-mcp" kind="mcp-server"><name>User Prompt MCP</name><url>https://github.com/nazar256/user-prompt-mcp</url><description>An MCP server for Cursor that enables requesting user input during generation process.</description></resource>
  <resource slug="awesome-vega-lite" kind="mcp-server"><name>Vega-Lite</name><url>https://github.com/isaacwasserman/mcp-vegalite-server</url><description>Generate visualizations from fetched data using the VegaLite format and renderer.</description></resource>
  <resource slug="awesome-vibe-check" kind="mcp-server"><name>Vibe Check</name><url>https://github.com/PV-Bhat/vibe-check-mcp-server</url><description>The definitive Vibe Coder's sanity check MCP server: Prevents cascading errors by calling a "Vibe-check" agent to ensure alignment and prevent scope creep</description></resource>
  <resource slug="awesome-wassenger" kind="mcp-server"><name>Wassenger</name><url>https://github.com/wassengerhq/mcp-wassenger</url><description>Wassenger MCP server to chat, send messages and automate WhatsApp from any AI model client (free trial available).</description></resource>
  <resource slug="awesome-weather" kind="mcp-server"><name>Weather</name><url>https://github.com/TimLukaHorstmann/mcp-weather</url><description>Accurate weather forecasts via the AccuWeather API (free tier available).</description></resource>
  <resource slug="awesome-knowair-weather" kind="mcp-server"><name>KnowAir Weather</name><url>https://github.com/shuowang-ai/Weather-MCP</url><description>Real-time weather and air quality via the Caiyun Weather API (meteorology + AQI, CN &amp; US standards).</description></resource>
  <resource slug="awesome-webex" kind="mcp-server"><name>Webex</name><url>https://github.com/Kashyap-AI-ML-Solutions/webex-messaging-mcp-server</url><description>A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to Cisco Webex messaging capabilities.</description></resource>
  <resource slug="awesome-web-search-mcp" kind="mcp-server"><name>Web Search MCP</name><url>https://github.com/mrkrsl/web-search-mcp</url><description>A server that provides local, full web search, summaries and page extration for use with Local LLMs.</description></resource>
  <resource slug="awesome-website-snapshot" kind="mcp-server"><name>Website Snapshot</name><url>https://github.com/gustavo-meilus/mcp-web-snapshot</url><description>A MCP server that provides comprehensive website snapshot capabilities using Playwright. This server enables LLMs to capture and analyze web pages through structured accessibility snapshots, network monitoring, and console message collectio</description></resource>
  <resource slug="awesome-weibaohui-k8m" kind="mcp-server"><name>weibaohui/k8m</name><url>https://github.com/weibaohui/k8m</url><description>Provides multi-cluster Kubernetes management and operations using MCP, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.</description></resource>
  <resource slug="awesome-weibaohui-kom" kind="mcp-server"><name>weibaohui/kom</name><url>https://github.com/weibaohui/kom</url><description>Provides multi-cluster Kubernetes management and operations using MCP, It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and C</description></resource>
  <resource slug="awesome-whois-mcp" kind="mcp-server"><name>Whois MCP</name><url>https://github.com/bharathvaj-ganesan/whois-mcp</url><description>MCP server that performs whois lookup against domain, IP, ASN and TLD.</description></resource>
  <resource slug="awesome-windows-cli" kind="mcp-server"><name>Windows CLI</name><url>https://github.com/SimonB97/win-cli-mcp-server</url><description>MCP server for secure command-line interactions on Windows systems, enabling controlled access to PowerShell, CMD, and Git Bash shells.</description></resource>
  <resource slug="awesome-windows-control" kind="mcp-server"><name>Windows Control</name><url>https://github.com/Cheffromspace/nutjs-windows-control</url><description>Programmatic control over Windows system operations including mouse, keyboard, window management, and screen capture using nut.js.</description></resource>
  <resource slug="awesome-windsor" kind="mcp-server"><name>Windsor</name><url>https://github.com/windsor-ai/windsor_mcp</url><description>Windsor MCP (Model Context Protocol) enables your LLM to query, explore, and analyze your full-stack business data integrated into Windsor.ai with zero SQL writing or custom scripting.</description></resource>
  <resource slug="awesome-x-twitter" kind="mcp-server"><name>X (Twitter)</name><url>https://github.com/mbelinky/x-mcp-server</url><description>Enhanced MCP server for Twitter/X with OAuth 2.0 support, v2 API media uploads, smart v1.1 fallbacks, and comprehensive rate limiting. Post tweets with text/media, search, and delete tweets programmatically.</description></resource>
  <resource slug="awesome-xcodebuild" kind="mcp-server"><name>xcodebuild</name><url>https://github.com/ShenghaiWang/xcodebuild</url><description>🍎 Build iOS Xcode workspace/project and feed back errors to llm.</description></resource>
  <resource slug="awesome-xcodebuildmcp" kind="mcp-server"><name>XcodeBuildMCP</name><url>https://github.com/cameroncooke/xcodebuildmcp</url><description> Popular MCP server that enables AI agents to scaffold, build, run and test iOS, macOS, visionOS and watchOS apps or simulators and wired and wireless devices. It has powerful UI-automation capabilities like controlling the simulator, capt</description></resource>
  <resource slug="awesome-xcsimctl" kind="mcp-server"><name>xcsimctl</name><url>https://github.com/nzrsky/simctl-mcp-server</url><description>🍎 Manage Xcode simulators.</description></resource>
  <resource slug="awesome-xctools" kind="mcp-server"><name>xctools</name><url>https://github.com/nzrsky/xctools-mcp-server</url><description>🍎 MCP server for Xcode's xctrace, xcrun, xcodebuild.</description></resource>
  <resource slug="awesome-youtube" kind="mcp-server"><name>YouTube</name><url>https://github.com/anaisbetts/mcp-youtube</url><description>Fetch YouTube subtitles</description></resource>
  <resource slug="awesome-yuga-planner" kind="mcp-server"><name>Yuga Planner</name><url>https://github.com/blackopsrepl/yuga-planner</url><description>AI Task schedule planning with LLamaIndex and Timefold: breaks down a task description and schedules it around an existing calendar</description></resource>
  <resource slug="awesome-mbro" kind="mcp-server"><name>MBro</name><url>https://github.com/sitbon/magg/blob/main/docs/mbro.md</url><description>A powerful interactive terminal MCP Browser client with tab completion and automatic documentation that allows you to work with multiple MCP servers, manage tools, and create complex workflows using AI assistants.</description></resource>
  <resource slug="awesome-mcp-cli" kind="mcp-server"><name>mcp-cli</name><url>https://github.com/wong2/mcp-cli</url><description>a cli inspector for MCP servers</description></resource>
  <resource slug="awesome-mcp-client" kind="mcp-server"><name>mcp-client</name><url>https://github.com/rakesh-eltropy/mcp-client</url><description>MCP REST API and CLI client for interacting with MCP servers, supports OpenAI, Claude, Gemini, Ollama etc.</description></resource>
  <resource slug="awesome-mcp-bridge" kind="mcp-server"><name>MCP-Bridge</name><url>https://github.com/SecretiveShell/MCP-Bridge</url><description>🐍 an openAI middleware proxy to use mcp in any existing openAI compatible client</description></resource>
  <resource slug="awesome-mcp-chatbot" kind="mcp-server"><name>MCP-Chatbot</name><url>https://github.com/3choff/mcp-chatbot</url><description>A simple yet powerful ⭐ CLI chatbot that integrates tool servers with any OpenAI-compatible LLM API.</description></resource>
  <resource slug="awesome-genkit" kind="mcp-server"><name>genkit</name><url>https://github.com/firebase/genkit</url><description>agent and data transformation framework</description></resource>
  <resource slug="awesome-gpt-computer-assistant" kind="mcp-server"><name>gpt-computer-assistant</name><url>https://github.com/Upsonic/gpt-computer-assistant</url><description>dockerized mcp client with Anthropic, OpenAI and Langchain.</description></resource>
  <resource slug="awesome-mcp-connect" kind="mcp-server"><name>MCP-Connect</name><url>https://github.com/EvalsOne/mcp-connect</url><description>A client that enables cloud-based AI services to access local Stdio based MCP servers by HTTP/HTTPS requests.</description></resource>
  <resource slug="awesome-codemirror-mcp" kind="mcp-server"><name>codemirror-mcp</name><url>https://github.com/marimo-team/codemirror-mcp</url><description>CodeMirror extension that implements the Model Context Protocol (MCP) for resource mentions and prompt commands.</description></resource>
  <resource slug="awesome-librechat" kind="mcp-server"><name>LibreChat</name><url>https://www.librechat.ai/</url><description>Open-source AI Web UI, supporting multiple providers including OpenAI, Anthropic, Google, Ollama, and local models. Includes MCP support for Agents.</description></resource>
  <resource slug="awesome-mcphub-nvim" kind="mcp-server"><name>mcphub.nvim</name><url>https://github.com/ravitemer/mcphub.nvim</url><description>A Neovim plugin that provides a UI and api to interact with MCP servers.</description></resource>
  <resource slug="awesome-nerve" kind="mcp-server"><name>Nerve</name><url>https://github.com/evilsocket/nerve</url><description>is an open source command line tool designed to be a simple yet powerful platform for creating and executing MCP integrated LLM-based agents.</description></resource>
  <resource slug="awesome-shinkai" kind="mcp-server"><name>Shinkai</name><url>http://github.com/dcSpark/shinkai-apps/</url><description>is a two click install AI manager (Local and Remote) that allows you to create AI agents in 5 minutes or less using a simple UI. Agents and tools are exposed as an MCP Server.</description></resource>
  <resource slug="awesome-mcps-playground" kind="mcp-server"><name>mcps-playground</name><url>https://mcpsplayground.com/chat</url><description>a playground for Remote MCP servers</description></resource>
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  <resource slug="grok-4" kind="model"><name>Grok 4</name><url>https://x.ai</url><description>xAI Grok 4.</description></resource>
  <resource slug="kimi-k3" kind="model"><name>Kimi K3</name><url>https://kimi.moonshot.cn</url><description>Moonshot's K3 agentic flagship.</description></resource>
  <resource slug="deepseek-v4-pro" kind="model"><name>DeepSeek-V4 Pro</name><url>https://deepseek.com</url><description>DeepSeek V4 reasoning flagship.</description></resource>
  <resource slug="deepseek-v4-flash" kind="model"><name>DeepSeek-V4 Flash</name><url>https://deepseek.com</url><description>DeepSeek V4 fast variant.</description></resource>
  <resource slug="muse-spark-1-3" kind="model"><name>Muse Spark 1.3</name><url>https://ai.meta.com</url><description>Meta's frontier — reported 75.4% DeepSWE v1.1 at max reasoning.</description></resource>
  <resource slug="qwen-3-8-max" kind="model"><name>Qwen 3.8 Max</name><url>https://qwen.ai</url><description>Alibaba's Qwen 3.8 flagship.</description></resource>
  <resource slug="qwen-3-7-max" kind="model"><name>Qwen 3.7 Max</name><url>https://qwen.ai</url><description>Qwen 3.7 generation.</description></resource>
  <resource slug="gemini-3-8-flash" kind="model"><name>Gemini 3.8 Flash</name><url>https://deepmind.google/models/gemini/</url><description>Gemini 3.8 fast multimodal — strong DeepSWE for a Flash tier.</description></resource>
  <resource slug="gemini-3-1-pro" kind="model"><name>Gemini 3.1 Pro</name><url>https://deepmind.google/models/gemini/</url><description>Gemini 3.1 reasoning pro.</description></resource>
  <resource slug="gemini-3-7-flash" kind="model"><name>Gemini 3.7 Flash</name><url>https://deepmind.google/models/gemini/</url><description>Gemini 3.7 fast multimodal.</description></resource>
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  <resource slug="glm-5-3" kind="model"><name>GLM-5.3</name><url>https://z.ai</url><description>Z.ai GLM 5.3 flagship.</description></resource>
  <resource slug="glm-5-3-flash" kind="model"><name>GLM-5.3 Flash</name><url>https://z.ai</url><description>GLM 5.3 fast variant.</description></resource>
  <resource slug="nemotron-ultra" kind="model"><name>Nemotron Ultra</name><url>https://build.nvidia.com</url><description>NVIDIA's open reasoning model.</description></resource>
  <resource slug="morph-v3" kind="model"><name>Morph V3</name><url>https://morphllm.com</url><description>Morph's fast apply/edit model.</description></resource>
  <resource slug="k2-thinking" kind="model"><name>K2 Thinking</name><url>https://kimi.moonshot.cn</url><description>Kimi K2 reasoning variant.</description></resource>
  <resource slug="gemini-4-hydrogen" kind="model"><name>Gemini 4 Hydrogen</name><url>https://openrouter.ai/google/gemini-4-hydrogen</url><description>Gemini 4 Hydrogen is the high-efficiency workhorse model of the Gemini 4 family from Google, built for high-throughput agentic workflows, coding and multi-model routing at lower cost and latency than.</description></resource>
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  <resource slug="claude-fable-5-2" kind="model"><name>Claude Fable 5.2</name><url>https://openrouter.ai/anthropic/claude-fable-5.2</url><description>Claude Fable 5.2 is Anthropic's most capable model for the most demanding technical work, with gains over Fable 5.1 in coding, reasoning, and vision.</description></resource>
  <resource slug="muse-ember" kind="model"><name>Muse Ember</name><url>https://openrouter.ai/meta/muse-ember</url><description>Muse Ember is the smallest and most efficient model from Meta that’s designed for complex reasoning execution and the work agents repeat all day: tool calls, coding agent subtasks, routing,...</description></resource>
  <resource slug="gemini-omni-1-2-flash" kind="model"><name>Gemini Omni 1.2 Flash</name><url>https://openrouter.ai/google/gemini-omni-1.2-flash</url><description>Gemini Omni 1.2 Flash is Google's native multimodal video generation and editing model, the successor to Gemini Omni 1.1 Flash.</description></resource>
  <resource slug="gemini-omni-1-1-flash" kind="model"><name>Gemini Omni 1.1 Flash</name><url>https://openrouter.ai/google/gemini-omni-1.1-flash</url><description>Gemini Omni 1.1 Flash is Google's native multimodal video generation and editing model, the generally available successor to Gemini Omni Flash Preview.</description></resource>
  <resource slug="glm-5-3-flashx-legal" kind="model"><name>GLM 5.3 FlashX Legal</name><url>https://openrouter.ai/z-ai/glm-5.3-flashx-legal</url><description>GLM-5.3-FlashX-Legal (GLM-Legal) is Z.ai's legal-domain variant of GLM-5.3-FlashX, a native multimodal model that accepts text, image, and video input and produces text.</description></resource>
  <resource slug="gpt-6-1-terra-pro" kind="model"><name>GPT-6.1 Terra Pro</name><url>https://openrouter.ai/openai/gpt-6.1-terra-pro</url><description>GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](https://openrouter.ai/openai/gpt-6.1-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="gpt-6-1-terra" kind="model"><name>GPT-6.1 Terra</name><url>https://openrouter.ai/openai/gpt-6.1-terra</url><description>GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol.</description></resource>
  <resource slug="kimi-k3-1-pro" kind="model"><name>Kimi K3.1 Pro</name><url>https://openrouter.ai/moonshotai/kimi-k3.1-pro</url><description>Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window.</description></resource>
  <resource slug="minimax-m3-1-flash" kind="model"><name>MiniMax M3.1 Flash</name><url>https://openrouter.ai/minimax/minimax-m3.1-flash</url><description>MiniMax-M3.1-Flash is a multimodal model from MiniMax.</description></resource>
  <resource slug="muse-spark-open" kind="model"><name>Muse Spark Open</name><url>https://openrouter.ai/meta/muse-spark-open</url><description>Muse Spark Open is a coding-optimized open-weight model.</description></resource>
  <resource slug="nemotron-3-5-super-vl" kind="model"><name>Nemotron 3.5 Super VL</name><url>https://openrouter.ai/nvidia/nemotron-3.5-super-vl</url><description>NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total.</description></resource>
  <resource slug="gemini-4-argon" kind="model"><name>Gemini 4 Argon</name><url>https://openrouter.ai/google/gemini-4-argon</url><description>Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.</description></resource>
  <resource slug="muse-wonder" kind="model"><name>Muse Wonder</name><url>https://openrouter.ai/meta/muse-wonder</url><description>Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks.</description></resource>
  <resource slug="claude-haiku-5-5" kind="model"><name>Claude Haiku 5.5</name><url>https://openrouter.ai/anthropic/claude-haiku-5.5</url><description>Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use.</description></resource>
  <resource slug="gemini-nano-banana-2-1" kind="model"><name>Nano Banana 2.1</name><url>https://openrouter.ai/google/gemini-nano-banana-2.1</url><description>Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro.</description></resource>
  <resource slug="mistral-large-4-0" kind="model"><name>Mistral Large 4</name><url>https://openrouter.ai/mistralai/mistral-large-4-0</url><description>Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.</description></resource>
  <resource slug="gpt-6-1-sol-pro" kind="model"><name>GPT-6.1 Sol Pro</name><url>https://openrouter.ai/openai/gpt-6.1-sol-pro</url><description>GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="glm-5-3-prime" kind="model"><name>GLM 5.3 Prime</name><url>https://openrouter.ai/z-ai/glm-5.3-prime</url><description>GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration.</description></resource>
  <resource slug="qwen3-8-max-prime" kind="model"><name>Qwen3.8 Max Prime</name><url>https://openrouter.ai/qwen/qwen3.8-max-prime</url><description>Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point.</description></resource>
  <resource slug="command-a-plus" kind="model"><name>Command A+</name><url>https://openrouter.ai/cohere/command-a-plus</url><description>Command A+ is Cohere's flagship model for enterprise agentic workflows.</description></resource>
  <resource slug="gpt-6-luna-pro" kind="model"><name>GPT-6 Luna Pro</name><url>https://openrouter.ai/openai/gpt-6-luna-pro</url><description>GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="gpt-6-luna" kind="model"><name>GPT-6 Luna</name><url>https://openrouter.ai/openai/gpt-6-luna</url><description>GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol.</description></resource>
  <resource slug="gpt-6-sol-pro" kind="model"><name>GPT-6 Sol Pro</name><url>https://openrouter.ai/openai/gpt-6-sol-pro</url><description>GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="gpt-6-sol" kind="model"><name>GPT-6 Sol</name><url>https://openrouter.ai/openai/gpt-6-sol</url><description>GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier.</description></resource>
  <resource slug="grok-4-7" kind="model"><name>Grok 4.7</name><url>https://openrouter.ai/x-ai/grok-4.7</url><description>Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6.</description></resource>
  <resource slug="qwen3-8-omni-flash" kind="model"><name>Qwen3.8 Omni Flash</name><url>https://openrouter.ai/qwen/qwen3.8-omni-flash</url><description>Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding.</description></resource>
  <resource slug="glm-5-3-flashx" kind="model"><name>GLM 5.3 FlashX</name><url>https://openrouter.ai/z-ai/glm-5.3-flashx</url><description>GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s.</description></resource>
  <resource slug="deepseek-v4-1-flash" kind="model"><name>DeepSeek V4.1 Flash</name><url>https://openrouter.ai/deepseek/deepseek-v4.1-flash</url><description>DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.</description></resource>
  <resource slug="gpt-6-astra-pro" kind="model"><name>GPT-6 Astra Pro</name><url>https://openrouter.ai/openai/gpt-6-astra-pro</url><description>GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="qwen3-8-flash" kind="model"><name>Qwen3.8 Flash</name><url>https://openrouter.ai/qwen/qwen3.8-flash</url><description>Qwen3.8 Flash is a multimodal reasoning model from Alibaba.</description></resource>
  <resource slug="deepseek-v4-flash-vision-exp" kind="model"><name>DeepSeek V4 Flash Vision Exp</name><url>https://openrouter.ai/deepseek/deepseek-v4-flash-vision-exp</url><description>DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding whil</description></resource>
  <resource slug="qwen3-8-27b" kind="model"><name>Qwen3.8 27B</name><url>https://openrouter.ai/qwen/qwen3.8-27b</url><description>Qwen3.8 27B is an open-weight dense vision-language model from Qwen.</description></resource>
  <resource slug="qwen3-8-2-4t-a95b" kind="model"><name>Qwen3.8 2.4T A95B</name><url>https://openrouter.ai/qwen/qwen3.8-2.4t-a95b</url><description>Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion tot</description></resource>
  <resource slug="nemotron-3-5-lightning" kind="model"><name>Nemotron 3.5 Lightning</name><url>https://openrouter.ai/nvidia/nemotron-3.5-lightning</url><description>NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total.</description></resource>
  <resource slug="muse-glimmer-30b" kind="model"><name>Muse Glimmer 30B</name><url>https://openrouter.ai/meta/muse-glimmer-30b</url><description>Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware.</description></resource>
  <resource slug="muse-spark-1-2" kind="model"><name>Muse Spark 1.2</name><url>https://openrouter.ai/meta/muse-spark-1.2</url><description>Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.</description></resource>
  <resource slug="qwen3-7-flash" kind="model"><name>Qwen3.7 Flash</name><url>https://openrouter.ai/qwen/qwen3.7-flash</url><description>Qwen3.7 Flash is a vision-language reasoning model from Alibaba.</description></resource>
  <resource slug="gemini-3-5-flash-lite" kind="model"><name>Gemini 3.5 Flash Lite</name><url>https://openrouter.ai/google/gemini-3.5-flash-lite</url><description>Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities.</description></resource>
  <resource slug="muse-spark-1-1" kind="model"><name>Muse Spark 1.1</name><url>https://openrouter.ai/meta/muse-spark-1.1</url><description>Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks.</description></resource>
  <resource slug="gpt-5-6-luna-pro" kind="model"><name>GPT-5.6 Luna Pro</name><url>https://openrouter.ai/openai/gpt-5.6-luna-pro</url><description>GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="gpt-5-6-luna" kind="model"><name>GPT-5.6 Luna</name><url>https://openrouter.ai/openai/gpt-5.6-luna</url><description>GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.</description></resource>
  <resource slug="gpt-5-6-terra-pro" kind="model"><name>GPT-5.6 Terra Pro</name><url>https://openrouter.ai/openai/gpt-5.6-terra-pro</url><description>GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="gpt-5-6-terra" kind="model"><name>GPT-5.6 Terra</name><url>https://openrouter.ai/openai/gpt-5.6-terra</url><description>GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier.</description></resource>
  <resource slug="gpt-5-6-sol-pro" kind="model"><name>GPT-5.6 Sol Pro</name><url>https://openrouter.ai/openai/gpt-5.6-sol-pro</url><description>GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="grok-4-5" kind="model"><name>Grok 4.5</name><url>https://openrouter.ai/x-ai/grok-4.5</url><description>Grok 4.5 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM.</description></resource>
  <resource slug="glm-5-2" kind="model"><name>GLM 5.2</name><url>https://openrouter.ai/z-ai/glm-5.2</url><description>GLM 5.2 is a large-scale reasoning model from Z.ai.</description></resource>
  <resource slug="kimi-k2-7-code" kind="model"><name>Kimi K2.7 Code</name><url>https://openrouter.ai/moonshotai/kimi-k2.7-code</url><description>MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts.</description></resource>
  <resource slug="qwen3-7-plus" kind="model"><name>Qwen3.7 Plus</name><url>https://openrouter.ai/qwen/qwen3.7-plus</url><description>Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series.</description></resource>
  <resource slug="minimax-m3" kind="model"><name>MiniMax M3</name><url>https://openrouter.ai/minimax/minimax-m3</url><description>MiniMax-M3 is a multimodal foundation model from MiniMax.</description></resource>
  <resource slug="grok-build-0-1" kind="model"><name>Grok Build 0.1</name><url>https://openrouter.ai/x-ai/grok-build-0.1</url><description>Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows.</description></resource>
  <resource slug="gemini-3-5-flash" kind="model"><name>Gemini 3.5 Flash</name><url>https://openrouter.ai/google/gemini-3.5-flash</url><description>Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed.</description></resource>
  <resource slug="groq" kind="model-provider"><name>Groq</name><url>https://groq.com</url><description>Ultra-fast LPU inference for open models.</description></resource>
  <resource slug="google-ai-studio" kind="model-provider"><name>Google AI Studio / Gemini API</name><url>https://aistudio.google.com</url><description>Gemini family with a genuinely free tier.</description></resource>
  <resource slug="openrouter" kind="model-provider"><name>OpenRouter</name><url>https://openrouter.ai</url><description>Unified API over hundreds of models incl. a free pool.</description></resource>
  <resource slug="nvidia-nim" kind="model-provider"><name>NVIDIA NIM</name><url>https://build.nvidia.com</url><description>Hosted open-model endpoints with free credits.</description></resource>
  <resource slug="mistral-platform" kind="model-provider"><name>Mistral La Plateforme</name><url>https://console.mistral.ai</url><description>Mistral models; free experiment tier.</description></resource>
  <resource slug="cerebras" kind="model-provider"><name>Cerebras Inference</name><url>https://cerebras.ai</url><description>Wafer-scale fast inference, free tier.</description></resource>
  <resource slug="github-models" kind="model-provider"><name>GitHub Models</name><url>https://github.com/marketplace/models</url><description>Free model playground + API for GitHub accounts.</description></resource>
  <resource slug="huggingface-inference" kind="model-provider"><name>HuggingFace Inference</name><url>https://huggingface.co/inference-api</url><description>Hosted inference across the HF model hub.</description></resource>
  <resource slug="freellmapi" kind="list-repo"><name>FreeLLM API</name><url>https://freellmapi.com</url><description>Community free-tier LLM endpoints.</description></resource>
  <resource slug="openai" kind="model-provider"><name>OpenAI</name><url>https://platform.openai.com</url><description>GPT frontier models, images, audio, video.</description></resource>
  <resource slug="anthropic" kind="model-provider"><name>Anthropic</name><url>https://console.anthropic.com</url><description>Claude frontier models.</description></resource>
  <resource slug="aws-bedrock" kind="model-provider"><name>AWS Bedrock</name><url>https://aws.amazon.com/bedrock</url><description>Managed multi-provider model service.</description></resource>
  <resource slug="azure-openai" kind="model-provider"><name>Azure OpenAI</name><url>https://azure.microsoft.com/products/ai-services/openai-service</url><description>OpenAI models on Azure.</description></resource>
  <resource slug="vertex-ai" kind="model-provider"><name>Google Vertex AI</name><url>https://cloud.google.com/vertex-ai</url><description>GCP's managed model + agent platform.</description></resource>
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  <resource slug="xai" kind="model-provider"><name>xAI / Grok</name><url>https://console.x.ai</url><description>Grok models.</description></resource>
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  <resource slug="morphllm" kind="model-provider"><name>MorphLLM</name><url>https://morphllm.com</url><description>Fast apply/edit model endpoints.</description></resource>
  <resource slug="zai-glm" kind="model-provider"><name>Z.ai GLM</name><url>https://z.ai</url><description>GLM model family.</description></resource>
  <resource slug="dashscope" kind="model-provider"><name>Alibaba DashScope</name><url>https://dashscope.aliyun.com</url><description>Qwen model endpoints.</description></resource>
  <resource slug="sambanova" kind="model-provider"><name>SambaNova</name><url>https://sambanova.ai</url><description>RDU inference + free cloud tier.</description></resource>
  <resource slug="hyperbolic" kind="model-provider"><name>Hyperbolic</name><url>https://hyperbolic.xyz</url><description>Cheap open-model GPU inference.</description></resource>
  <resource slug="novita" kind="model-provider"><name>Novita AI</name><url>https://novita.ai</url><description>Serverless GPU model APIs.</description></resource>
  <resource slug="ollama-cloud" kind="model-provider"><name>Ollama Cloud</name><url>https://ollama.com/cloud</url><description>Hosted Ollama-compatible inference.</description></resource>
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  <resource slug="llama-cpp" kind="model-runner" stars="135018"><name>llama.cpp</name><url>https://github.com/ggml-org/llama.cpp</url><description>GGUF inference engine underneath most local runners.</description></resource>
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  <resource slug="whisper-cpp" kind="model-runner" stars="55187"><name>whisper.cpp</name><url>https://github.com/ggerganov/whisper.cpp</url><description>Local Whisper inference.</description></resource>
  <resource slug="localai" kind="model-runner" stars="50365"><name>LocalAI</name><url>https://localai.io</url><description>Self-hosted OpenAI-compatible API.</description></resource>
  <resource slug="exo" kind="model-runner" stars="48399"><name>exo</name><url>https://github.com/exo-explore/exo</url><description>Cluster everyday devices into a GPU pool.</description></resource>
  <resource slug="text-gen-webui" kind="model-runner" stars="47740"><name>text-generation-webui</name><url>https://github.com/oobabooga/text-generation-webui</url><description>Feature-rich local web UI for models.</description></resource>
  <resource slug="jan" kind="model-runner" stars="45721"><name>Jan</name><url>https://jan.ai</url><description>Open-source local AI desktop app.</description></resource>
  <resource slug="airllm" kind="model-runner" stars="42369"><name>AirLLM</name><url>https://github.com/lyogavin/airllm</url><description>Run 70B models on 4GB RAM via layer-wise inference.</description></resource>
  <resource slug="tabby" kind="model-runner" stars="33937"><name>Tabby</name><url>https://tabby.tabbyml.com</url><description>Self-hosted coding assistant.</description></resource>
  <resource slug="invokeai" kind="model-runner" stars="29091"><name>InvokeAI</name><url>https://invoke-ai.github.io</url><description>Visual creative engine for diffusion.</description></resource>
  <resource slug="mlc-llm" kind="model-runner" stars="23418"><name>MLC LLM</name><url>https://llm.mlc.ai</url><description>Compile models for every device incl. phones/browser.</description></resource>
  <resource slug="koboldcpp" kind="model-runner" stars="12315"><name>KoboldCpp</name><url>https://github.com/LostRuins/koboldcpp</url><description>Single-binary local runner.</description></resource>
  <resource slug="tgi" kind="model-runner" stars="10878"><name>Text Generation Inference</name><url>https://github.com/huggingface/text-generation-inference</url><description>HF's production serving stack.</description></resource>
  <resource slug="hyperspace-pods" kind="model-runner" stars="2076"><name>Hyperspace Pods</name><url>https://hyperspaceai.agi</url><description>Decentralized inference pods network.</description></resource>
  <resource slug="lm-studio" kind="model-runner" stars="1813"><name>LM Studio</name><url>https://lmstudio.ai</url><description>Polished local model desktop app + local server.</description></resource>
  <resource slug="colibri-ai" kind="model-runner"><name>Colibri.ai</name><url>https://github.com/nickr-s/Colibri</url><description>Lightweight local inference toolkit.</description></resource>
  <resource slug="t3rnel-wavepay" kind="monetization-rail"><name>T3rnel WavePay</name><url>https://github.com/t3ratech/t3rnel</url><description>Payment authority (sibling product; PayNow-first).</description></resource>
  <resource slug="paynow" kind="monetization-rail"><name>PayNow</name><url>https://paynow.co.zw</url><description>Zimbabwe payment gateway.</description></resource>
  <resource slug="paypal" kind="monetization-rail"><name>PayPal</name><url>https://developer.paypal.com</url><description>Payments + payouts API.</description></resource>
  <resource slug="stripe" kind="monetization-rail"><name>Stripe</name><url>https://stripe.com</url><description>Payments infrastructure.</description></resource>
  <resource slug="x402" kind="monetization-rail"><name>x402</name><url>https://x402.org</url><description>HTTP-native micropayment protocol for agents.</description></resource>
  <resource slug="lemon-squeezy" kind="monetization-rail"><name>Lemon Squeezy</name><url>https://lemonsqueezy.com</url><description>Merchant-of-record for digital products.</description></resource>
  <resource slug="gumroad" kind="monetization-rail"><name>Gumroad</name><url>https://gumroad.com</url><description>Digital product storefront + API.</description></resource>
  <resource slug="kofi" kind="monetization-rail"><name>Ko-fi</name><url>https://ko-fi.com</url><description>Tips + shop + memberships.</description></resource>
  <resource slug="github-sponsors" kind="monetization-rail"><name>GitHub Sponsors</name><url>https://github.com/sponsors</url><description>OSS funding.</description></resource>
  <resource slug="open-collective" kind="monetization-rail"><name>Open Collective</name><url>https://opencollective.com</url><description>Transparent project funding.</description></resource>
  <resource slug="amazon-kdp" kind="monetization-rail"><name>Amazon KDP</name><url>https://kdp.amazon.com</url><description>Self-publishing rail.</description></resource>
  <resource slug="opensea" kind="nft-marketplace"><name>OpenSea</name><url>https://opensea.io</url><description>Largest NFT marketplace.</description></resource>
  <resource slug="blur" kind="nft-marketplace"><name>Blur</name><url>https://blur.io</url><description>Pro-trader NFT market.</description></resource>
  <resource slug="magic-eden" kind="nft-marketplace"><name>Magic Eden</name><url>https://magiceden.io</url><description>Multi-chain NFT marketplace.</description></resource>
  <resource slug="tensor" kind="nft-marketplace"><name>Tensor</name><url>https://tensor.trade</url><description>Solana pro NFT exchange.</description></resource>
  <resource slug="rarible" kind="nft-marketplace"><name>Rarible</name><url>https://rarible.com</url><description>Multi-chain NFT marketplace + protocol.</description></resource>
  <resource slug="looksrare" kind="nft-marketplace"><name>LooksRare</name><url>https://looksrare.org</url><description>NFT marketplace with rewards.</description></resource>
  <resource slug="x2y2" kind="nft-marketplace"><name>X2Y2</name><url>https://x2y2.io</url><description>Community-run NFT marketplace.</description></resource>
  <resource slug="joepegs" kind="nft-marketplace"><name>Joepegs</name><url>https://joepegs.com</url><description>Avalanche NFT marketplace.</description></resource>
  <resource slug="polymarket" kind="prediction-market"><name>Polymarket</name><url>https://polymarket.com</url><description>The largest crypto prediction market — bots trade USDC on Polygon.</description></resource>
  <resource slug="manifold" kind="prediction-market"><name>Manifold</name><url>https://manifold.markets</url><description>Play-money prediction market with an open API.</description></resource>
  <resource slug="kalshi" kind="prediction-market"><name>Kalshi</name><url>https://kalshi.com</url><description>Regulated US prediction exchange with an API.</description></resource>
  <resource slug="limitless" kind="prediction-market"><name>Limitless Exchange</name><url>https://limitless.exchange</url><description>Crypto prediction market.</description></resource>
  <resource slug="metaculus" kind="prediction-market"><name>Metaculus</name><url>https://www.metaculus.com</url><description>Forecasting platform with a public API.</description></resource>
  <resource slug="hedgy" kind="prediction-market"><name>Hedgy</name><url>https://hedgy.market</url><description>Prediction market on Solana.</description></resource>
  <resource slug="myriad" kind="prediction-market"><name>Myriad Markets</name><url>https://myriad.markets</url><description>Prediction markets + news.</description></resource>
  <resource slug="drift-forecast" kind="prediction-market"><name>Drift Forecast</name><url>https://drift.trade</url><description>Solana perpetuals + prediction rails.</description></resource>
  <resource slug="strix" kind="security-tool" stars="75513"><name>Strix</name><url>https://strix.ai</url><description>Autonomous AI penetration testing.</description></resource>
  <resource slug="trivy" kind="security-tool" stars="39338"><name>Trivy</name><url>https://trivy.dev</url><description>Container + IaC + dependency scanner.</description></resource>
  <resource slug="nuclei" kind="security-tool" stars="32907"><name>Nuclei</name><url>https://github.com/projectdiscovery/nuclei</url><description>Template-based vuln scanner.</description></resource>
  <resource slug="trufflehog" kind="security-tool" stars="29321"><name>TruffleHog</name><url>https://github.com/trufflesecurity/trufflehog</url><description>Find leaked credentials.</description></resource>
  <resource slug="mobsf" kind="security-tool" stars="22224"><name>MobSF</name><url>https://mobsf.github.io/Mobile-Security-Framework-MobSF</url><description>Mobile app security framework.</description></resource>
  <resource slug="owasp-zap" kind="security-tool" stars="16189"><name>OWASP ZAP</name><url>https://www.zaproxy.org</url><description>The Zed Attack Proxy — DAST.</description></resource>
  <resource slug="grype" kind="security-tool" stars="13265"><name>Grype</name><url>https://github.com/anchore/grype</url><description>Vuln scanner for images + filesystems.</description></resource>
  <resource slug="osv-scanner" kind="security-tool" stars="11517"><name>OSV-Scanner</name><url>https://github.com/google/osv-scanner</url><description>Google's vuln database scanner.</description></resource>
  <resource slug="checkov" kind="security-tool" stars="9160"><name>Checkov</name><url>https://www.checkov.io</url><description>IaC security scanning.</description></resource>
  <resource slug="bandit" kind="security-tool" stars="8382"><name>Bandit</name><url>https://github.com/PyCQA/bandit</url><description>Python security linter.</description></resource>
  <resource slug="snyk" kind="security-tool|api-service" stars="5710"><name>Snyk</name><url>https://snyk.io</url><description>SAST/SCA/secret scanning platform + MCP + CLI.</description></resource>
  <resource slug="bearer" kind="security-tool" stars="2793"><name>Bearer</name><url>https://github.com/Bearer/bearer</url><description>Privacy + security SAST.</description></resource>
  <resource slug="cargo-audit" kind="security-tool" stars="1990"><name>cargo audit</name><url>https://github.com/rustsec/rustsec</url><description>RustSec advisory scanner.</description></resource>
  <resource slug="horusec" kind="security-tool" stars="1344"><name>Horusec</name><url>https://github.com/ZupIT/horusec</url><description>SAST + secrets + deps orchestrator.</description></resource>
  <resource slug="sonarqube" kind="security-tool"><name>SonarQube</name><url>https://www.sonarsource.com/products/sonarqube</url><description>Code quality + security analysis platform.</description></resource>
  <resource slug="codeql" kind="security-tool"><name>CodeQL</name><url>https://codeql.github.com</url><description>GitHub's semantic code analysis.</description></resource>
  <resource slug="npm-audit" kind="security-tool"><name>npm audit</name><url>https://docs.npmjs.com/cli/v10/commands/npm-audit</url><description>Built-in npm dependency audit.</description></resource>
  <resource slug="superpowers" kind="skill-source" stars="317483"><name>Superpowers</name><url>https://github.com/obra/superpowers</url><description>Agentic skill framework + skills library.</description></resource>
  <resource slug="agent-s-awesome-apps" kind="list-repo" stars="144618"><name>awesome-llm-apps collection</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps</url><description>Curated LLM app collection — RAG, agents, voice, MCP examples.</description></resource>
  <resource slug="ala-multi-mcp-agent" kind="skill-source" stars="144618"><name>Multi-MCP agent (awesome-llm-apps)</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/mcp_ai_agents/multi_mcp_agent</url><description>Example: multi-server MCP agent.</description></resource>
  <resource slug="ala-agentic-rag" kind="skill-source" stars="144618"><name>Agentic RAG (awesome-llm-apps)</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/agentic_rag_gpt5</url><description>Example: agentic RAG with reasoning.</description></resource>
  <resource slug="ala-browser-mcp-agent" kind="skill-source" stars="144618"><name>Browser MCP agent (awesome-llm-apps)</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/mcp_ai_agents/browser_mcp_agent</url><description>Example: browser-driving MCP agent.</description></resource>
  <resource slug="ala-x402-paying-agent" kind="skill-source" stars="144618"><name>x402 paying agent (awesome-llm-apps)</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/starter_ai_agents/ai_x402_paying_agent</url><description>Example: agent that pays via x402.</description></resource>
  <resource slug="ala-voice-rag-agent" kind="skill-source" stars="144618"><name>Voice RAG agent (awesome-llm-apps)</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/voice_ai_agents/voice_rag_openaisdk</url><description>Example: voice + retrieval agent.</description></resource>
  <resource slug="ala-advisor-orchestrator" kind="skill-source" stars="144618"><name>advisor-orchestrator-worker skill</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/advisor-orchestrator-worker</url><description>Skill: orchestrate advisor→worker delegation.</description></resource>
  <resource slug="ala-commit-archaeologist" kind="skill-source" stars="144618"><name>commit-archaeologist skill</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/commit-archaeologist</url><description>Skill: dig through git history for why code exists.</description></resource>
  <resource slug="ala-dependency-doctor" kind="skill-source" stars="144618"><name>dependency-doctor skill</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/dependency-doctor</url><description>Skill: diagnose and fix dependency issues.</description></resource>
  <resource slug="ala-evals" kind="skill-source" stars="144618"><name>evals skill</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/evals</url><description>Skill: build and run agent evaluations.</description></resource>
  <resource slug="ala-first-reader" kind="skill-source" stars="144618"><name>first-reader skill</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/first-reader</url><description>Skill: first-pass read + summarize of codebases.</description></resource>
  <resource slug="ala-project-graveyard" kind="skill-source" stars="144618"><name>project-graveyard skill</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/project-graveyard</url><description>Skill: audit and archive dead projects.</description></resource>
  <resource slug="ala-scope-creep" kind="skill-source" stars="144618"><name>scope-creep-detector skill</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/scope-creep-detector</url><description>Skill: catch scope creep in agent work.</description></resource>
  <resource slug="ala-self-improving" kind="skill-source" stars="144618"><name>self-improving-agent-skills</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/self-improving-agent-skills</url><description>Skills that make agents improve their own skills.</description></resource>
  <resource slug="ala-thinking-out-loud" kind="skill-source" stars="144618"><name>thinking-out-loud skill</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/thinking-out-loud</url><description>Skill: visible agent reasoning trace.</description></resource>
  <resource slug="caveman" kind="skill-source" stars="119853"><name>Caveman</name><url>https://github.com/juliusbrussee/caveman</url><description>Detects your AI coding agents and installs configs.</description></resource>
  <resource slug="claude-mem" kind="skill-source" stars="116994"><name>claude-mem</name><url>https://github.com/thedotmack/claude-mem</url><description>Memory compression for Claude Code sessions.</description></resource>
  <resource slug="awesome-mcp-servers" kind="list-repo" stars="97695"><name>awesome-mcp-servers</name><url>https://github.com/punkpeye/awesome-mcp-servers</url><description>The biggest curated MCP list.</description></resource>
  <resource slug="mcp-official-servers" kind="mcp-server|list-repo" stars="91986"><name>MCP official servers</name><url>https://github.com/modelcontextprotocol/servers</url><description>Reference MCP server collection.</description></resource>
  <resource slug="awesome-claude-subagents" kind="skill-source" stars="26544"><name>Awesome Claude Code Subagents</name><url>https://github.com/VoltAgent/awesome-claude-code-subagents</url><description>Curated sub-agent collection.</description></resource>
  <resource slug="ecc" kind="list-repo|skill-source" stars="6367"><name>Everything Claude Code (ECC)</name><url>https://github.com/WorldFlowAI/everything-claude-code</url><description>Everything-for-Claude-Code collection — agents, skills, commands.</description></resource>
  <resource slug="awesome-mcp-appcypher" kind="list-repo" stars="5837"><name>awesome-mcp-servers (appcypher)</name><url>https://github.com/appcypher/awesome-mcp-servers</url><description>Curated MCP server list.</description></resource>
  <resource slug="snyk-code" kind="security-tool|skill-source" stars="5710"><name>Snyk</name><url>https://snyk.io</url><description>SAST/SCA/secret scanning + MCP + CLI.</description></resource>
  <resource slug="awesome-mcp-wong2" kind="list-repo" stars="4409"><name>awesome-mcp-servers (wong2)</name><url>https://github.com/wong2/awesome-mcp-servers</url><description>Original curated MCP list.</description></resource>
  <resource slug="clawhub" kind="skill-source"><name>ClawHub</name><url>https://clawhub.com</url><description>Skills marketplace for agent runtimes.</description></resource>
  <resource slug="fanghub" kind="skill-source"><name>FangHub</name><url>https://fanghub.ai</url><description>OpenFang agent skill/tool registry.</description></resource>
  <resource slug="smithery" kind="skill-source"><name>Smithery</name><url>https://smithery.ai</url><description>MCP server registry + install CLI.</description></resource>
  <resource slug="t3rnel-skills" kind="skill-source"><name>T3rnel skills</name><url>https://github.com/t3ratech/t3rnel</url><description>First-party T3rnel skill set (search, ship, audit, pentest…).</description></resource>
  <resource slug="agent-native-templates" kind="skill-source"><name>Agent-Native templates</name><url>https://github.com/BuilderIO/agent-native/tree/main/templates</url><description>16 first-party app templates (chat, tasks, crm, mail, calendar, clips, plan…) — scaffolded apps with agent parity built in.</description></resource>
  <resource slug="agent-native-skills" kind="skill-source"><name>Agent-Native skills</name><url>https://github.com/BuilderIO/agent-native/tree/main/.agents/skills</url><description>~80 SKILL.md engineering skills — actions, A2A, sharing, automations, reliable-mutations — same format T3rnel/Claude agents read.</description></resource>
  <resource slug="agent-native-community" kind="skill-source"><name>Agent-Native community apps</name><url>https://github.com/BuilderIO/agent-native/tree/main/community-templates</url><description>Community GTM mini-apps (churn-warning, prospect-tracker, win-loss) showing the composable-mini-app pattern.</description></resource>
  <resource slug="strix-pentest-skill" kind="skill-source"><name>Penetration testing with Strix</name><url>https://github.com/t3ratech/t3rnel</url><description>Autonomous AI pentest skill — exploits and proves vulns (OWASP+).</description></resource>
  <resource slug="strix-find-vulns-skill" kind="skill-source"><name>Find security vulnerabilities (Strix)</name><url>https://github.com/t3ratech/t3rnel</url><description>White-box security review + live exploit proofs.</description></resource>
  <resource slug="strix-fix-vulns-skill" kind="skill-source"><name>Fix security vulnerabilities (Strix)</name><url>https://github.com/t3ratech/t3rnel</url><description>Root-cause remediation flow for pentest findings.</description></resource>
  <resource slug="semgrep" kind="security-tool|skill-source"><name>Semgrep</name><url>https://semgrep.dev</url><description>Static analysis rule engine.</description></resource>
  <resource slug="gitleaks" kind="security-tool|skill-source"><name>Gitleaks</name><url>https://github.com/gitleaks/gitleaks</url><description>Secret scanning for repos.</description></resource>
  <resource slug="graphify" kind="skill-source|mcp-server"><name>graphify</name><url>https://github.com/graphify</url><description>Code → knowledge graph tool + MCP.</description></resource>
  <resource slug="moltbook" kind="social-network"><name>Moltbook</name><url>https://moltbook.com</url><description>Agent social network (agents post, humans watch).</description></resource>
  <resource slug="agenthansa" kind="social-network"><name>AgentHansa</name><url>https://agenthansa.com</url><description>Agent forum + bounty board.</description></resource>
  <resource slug="ai-agent-store" kind="social-network"><name>AI Agent Store</name><url>https://aiagentstore.ai</url><description>Agent directory + community board.</description></resource>
  <resource slug="steve-arena" kind="social-network"><name>Steve Arena (OOBE)</name><url>https://steve.oobeprotocol.ai</url><description>Agent arena: missions, boosts, XP.</description></resource>
  <resource slug="openfang-community" kind="social-network"><name>OpenFang community</name><url>https://openfang.org</url><description>Open agent ecosystem + community.</description></resource>
  <resource slug="agent-economy-x" kind="social-network"><name>Agent economy on X</name><url>https://x.com</url><description>Where agent builders announce and compare.</description></resource>
  <resource slug="hf-community" kind="social-network"><name>HuggingFace community</name><url>https://huggingface.co</url><description>Model/dataset hub + discussion.</description></resource>
  <resource slug="lane-algora" kind="work-lane"><name>Algora / OSS bounties</name><url>https://algora.io</url><description>Open-source bounty lane. First-party ledger shows merged PRs with recorded bounty amounts.</description></resource>
  <resource slug="lane-jobforagent" kind="work-lane"><name>JobForAgent</name><url>https://jobforagent.com</url><description>Agent job marketplace monitored continuously since 2026-07-09.</description></resource>
  <resource slug="lane-near-agent-market" kind="work-lane"><name>NEAR Agent Market</name><url>https://market.near.ai</url><description>On-chain agent job market on NEAR.</description></resource>
  <resource slug="lane-work402" kind="work-lane"><name>Work402</name><url>https://work402.com</url><description>x402-based agent work market.</description></resource>
  <resource slug="lane-seekclaw" kind="work-lane"><name>SeekClaw</name><url>https://seekclaw.com</url><description>Agent work marketplace with an official CLI.</description></resource>
  <resource slug="lane-moltjobs" kind="work-lane"><name>MoltJobs</name><url>https://moltjobs.com</url><description>Agent work market with USDC escrow on Base; API, CLI, MCP, and TS/Python SDKs.</description></resource>
  <resource slug="lane-openpod" kind="work-lane"><name>OpenPod</name><url>https://openpod.work</url><description>Agent task market with PM/Lead/Worker roles.</description></resource>
  <resource slug="lane-claw-earn" kind="work-lane"><name>Claw Earn (AI Agent Store)</name><url>https://aiagentstore.ai</url><description>Agent-work rail inside the AI Agent Store directory.</description></resource>
  <resource slug="lane-agrenting" kind="work-lane"><name>Agrenting</name><url>https://agrenting.com</url><description>Agent rental marketplace advertising a 95% provider share and DID registration.</description></resource>
  <resource slug="lane-agentlot" kind="work-lane"><name>AgentLot</name><url>https://agentlot.com</url><description>Agent work market reachable through an MCP connector listed on Glama.</description></resource>
  <resource slug="lane-agenticjobs" kind="work-lane"><name>agenticjobs.work</name><url>https://agenticjobs.work</url><description>Agent job board exposing API, MCP, and CLI access.</description></resource>
  <resource slug="lane-dealwork" kind="work-lane"><name>DealWork.ai</name><url>https://dealwork.ai</url><description>AI-agent gig marketplace.</description></resource>
  <resource slug="lane-digitaljobs" kind="work-lane"><name>DigitalJobs.com</name><url>https://digitaljobs.com</url><description>Public launch observed 2026-09-08 with a stated 120k+ listings spanning human and agent work.</description></resource>
  <resource slug="lane-okx-ai-asp" kind="work-lane"><name>OKX AI Agent Service Platform</name><url>https://www.okx.com</url><description>Exchange-operated agent service platform observed under review.</description></resource>
  <resource slug="lane-agenthansa" kind="work-lane"><name>AgentHansa</name><url>https://agenthansa.com</url><description>Agent community board with posted bounties and an operator API.</description></resource>
  <resource slug="lane-agentpulse" kind="work-lane"><name>Agent Pulse</name><url>https://agentpulse.xyz</url><description>Public room where agents post on behalf of their humans; skill.md-driven registration with Bearer-key API (posts, replies, follows, people/posts search).</description></resource>
  <resource slug="lane-hackernews" kind="work-lane"><name>Hacker News — Who is hiring</name><url>https://news.ycombinator.com</url><description>Monthly 'Who is hiring' threads; the listing feed is readable through the public Algolia HN API.</description></resource>
  <resource slug="lane-superteam-earn" kind="work-lane"><name>Superteam Earn</name><url>https://superteam.fun</url><description>Superteam Earn bounty feed with first-party listing API and explicit agentAccess fields.</description></resource>
  <resource slug="lane-aijobs-claudelance" kind="work-lane"><name>AI.JOBS / Claudelance</name><url>https://github.com/AtlasNexusTech/aijobs</url><description>Live Celo AI-agent bounty marketplace with ERC-8004 identity-gated claims and multi-token escrow.</description></resource>
  <resource slug="lane-github-bounty-feed" kind="work-lane"><name>Hermes GitHub Bounty Feed</name><url>https://github.com</url><description>Hermes no-agent GitHub bounty scanner feed for broad discovery beyond the curated Algora lane.</description></resource>
  <resource slug="lane-opire" kind="work-lane"><name>Opire</name><url>https://opire.dev</url><description>GitHub-integrated bounty lane; rewards are claimed through issue commands and settled by the bounty creator.</description></resource>
  <resource slug="lane-yeswehack" kind="work-lane"><name>YesWeHack</name><url>https://yeswehack.com</url><description>EU bug-bounty platform; hunter account verified live by first-party API.</description></resource>
  <resource slug="lane-intigriti" kind="work-lane"><name>Intigriti</name><url>https://intigriti.com</url><description>EU bug-bounty platform; account registered, ID check passed, payout methods enabled — zero submissions ever filed.</description></resource>
  <resource slug="lane-grok-bot-creator-rewards" kind="work-lane"><name>Grok Bot Creator Rewards (X)</name><url>https://grok.com</url><description>xAI/X creator program: creators build Grok Bot templates, share them on X, and are paid on usage and retention — reported as twice-monthly payouts. Pilot/invite stage.</description></resource>
  <resource slug="lane-freelancer-com" kind="work-lane"><name>Freelancer.com</name><url>https://www.freelancer.com</url><description>Freelance marketplace with a public, unauthenticated projects API. Listed only where a project says an AI agent may do the work.</description></resource>
  <resource slug="lane-upwork" kind="work-lane"><name>Upwork</name><url>https://www.upwork.com</url><description>Freelance marketplace whose AI-agent programme allows read-only job search and draft-only proposals under the account owner's authority.</description></resource>
  <resource slug="lane-agentalent" kind="work-lane"><name>Agentalent</name><url>https://agentalent.ai</url><description>Marketplace where companies hire verified AI agents; a public API lets an agent discover jobs, apply and sit evaluations.</description></resource>
  <resource slug="lane-hackerone" kind="work-lane"><name>HackerOne</name><url>https://hackerone.com</url><description>Largest vulnerability-disclosure platform; T3rnel account exists with payments enabled, but sign-in sits behind a Cloudflare bot challenge, so an agent cannot log in unattended.</description></resource>
  <resource slug="lane-bugcrowd" kind="work-lane"><name>Bugcrowd</name><url>https://bugcrowd.com</url><description>Crowdsourced security platform; T3rnel account is live with identity verification done and payments enabled. Sign-in was not re-proven by automation.</description></resource>
  <resource slug="lane-huntr" kind="work-lane"><name>huntr</name><url>https://huntr.com</url><description>Palo Alto Networks' AI/ML security site. The open-source vulnerability bounty is gone; what remains is a humans-only hacking challenge.</description></resource>
  <resource slug="lane-immunefi" kind="work-lane"><name>Immunefi</name><url>https://immunefi.com</url><description>Web3 bug-bounty platform. Not reachable for operators in Zimbabwe, and sign-in needs an on-chain wallet signature.</description></resource>
  <resource slug="lane-code4rena" kind="work-lane"><name>Code4rena</name><url>https://code4rena.com</url><description>Audit-contest platform that is winding down: new accounts can no longer be created.</description></resource>
  <resource slug="lane-sherlock" kind="work-lane"><name>Sherlock</name><url>https://sherlock.xyz</url><description>Smart-contract audit contests. Sign-in is wallet-only, which an unattended agent cannot do.</description></resource>
  <resource slug="lane-patchstack" kind="work-lane"><name>Patchstack</name><url>https://patchstack.com</url><description>WordPress vulnerability bounty; invite-only. A first valid vulnerability report via Discord is needed to receive an invite.</description></resource>
  <resource slug="lane-0din" kind="work-lane"><name>0DIN (Mozilla GenAI bounty)</name><url>https://0din.ai</url><description>Mozilla's generative-AI bug-bounty. T3rnel researcher account created, email confirmed and signed in.</description></resource>
  <resource slug="lane-hackenproof" kind="work-lane"><name>HackenProof</name><url>https://hackenproof.com</url><description>Web3 and crypto-exchange bug-bounty platform. T3rnel account created and activated; dashboard loads signed in.</description></resource>
  <resource slug="lane-zero-day-initiative" kind="work-lane"><name>Zero Day Initiative</name><url>https://www.zerodayinitiative.com</url><description>Trend Micro's vulnerability purchase program. T3rnel researcher account created, agreement accepted, signed in.</description></resource>
  <resource slug="lane-openbounty-shentu" kind="work-lane"><name>OpenBounty (Shentu)</name><url>https://openbounty.shentu.org</url><description>Shentu's bounty board. Its backend returned 502 Bad Gateway on every probe on 2026-10-24.</description></resource>
  <resource slug="lane-polar" kind="work-lane"><name>Polar</name><url>https://polar.sh</url><description>Developer funding platform. It has no public bounty feed, so there is nothing to list or claim.</description></resource>
</resources>