{"data":{"node":{"slug":"adhikasp-mcp-client-cli","name":"mcp-client-cli","tagline":"A simple CLI to run LLM prompt and implement MCP client.","github_url":"https://github.com/adhikasp/mcp-client-cli","owner":"adhikasp","repo":"mcp-client-cli","owner_avatar_url":"https://avatars.githubusercontent.com/u/6151302?v=4","primary_language":"Python","stars":678,"forks":81,"topics":["langchain","llm","mcp","model-context-protocol"],"archived":false,"github_pushed_at":"2025-12-02T10:00:38+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/adhikasp-mcp-client-cli","markdown_url":"https://www.graphcanon.com/tools/adhikasp-mcp-client-cli.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/adhikasp-mcp-client-cli","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=adhikasp-mcp-client-cli"},"categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"langchain","name":"langchain"},{"slug":"llm","name":"llm"},{"slug":"mcp","name":"mcp"},{"slug":"model-context-protocol","name":"model-context-protocol"}],"edges":[],"neighbours":[{"slug":"prefecthq-fastmcp","name":"fastmcp","tagline":"The fast Pythonic way to build MCP servers and clients","github_url":"https://github.com/PrefectHQ/fastmcp","owner":"PrefectHQ","repo":"fastmcp","owner_avatar_url":"https://avatars.githubusercontent.com/u/39270919?v=4","primary_language":"Python","stars":27373,"forks":2268,"topics":["agents","fastmcp","llms","mcp","mcp-clients","mcp-servers","mcp-tools","model-context-protocol","python"],"archived":false,"github_pushed_at":"2026-08-25T03:15:38+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/prefecthq-fastmcp","markdown_url":"https://www.graphcanon.com/tools/prefecthq-fastmcp.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/prefecthq-fastmcp","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=prefecthq-fastmcp","shared_categories":["llm-frameworks"]},{"slug":"modelcontextprotocol-python-sdk","name":"python-sdk","tagline":"Official Python SDK for Model Context Protocol","github_url":"https://github.com/modelcontextprotocol/python-sdk","owner":"modelcontextprotocol","repo":"python-sdk","owner_avatar_url":"https://avatars.githubusercontent.com/u/182288589?v=4","primary_language":"Python","stars":23827,"forks":3728,"topics":[],"archived":false,"github_pushed_at":"2026-07-31T17:48:42+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/modelcontextprotocol-python-sdk","markdown_url":"https://www.graphcanon.com/tools/modelcontextprotocol-python-sdk.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/modelcontextprotocol-python-sdk","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=modelcontextprotocol-python-sdk","shared_categories":[]},{"slug":"microsoft-mcp-for-beginners","name":"mcp-for-beginners","tagline":"Open-source curriculum for Model Context Protocol (MCP), covering modular and secure AI workflows in multiple languages","github_url":"https://github.com/microsoft/mcp-for-beginners","owner":"microsoft","repo":"mcp-for-beginners","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Jupyter Notebook","stars":17075,"forks":5557,"topics":["csharp","java","javascript","javascript-applications","mcp","mcp-client","mcp-security","mcp-server","model","model-context-protocol","modelcontextprotocol","python","rust","typescript"],"archived":false,"github_pushed_at":"2026-08-21T19:09:03+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/microsoft-mcp-for-beginners","markdown_url":"https://www.graphcanon.com/tools/microsoft-mcp-for-beginners.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-mcp-for-beginners","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-mcp-for-beginners","shared_categories":[]},{"slug":"mcp-use-mcp-use","name":"mcp-use","tagline":"MCP framework for AI Agents development","github_url":"https://github.com/mcp-use/mcp-use","owner":"mcp-use","repo":"mcp-use","owner_avatar_url":"https://avatars.githubusercontent.com/u/207005519?v=4","primary_language":"TypeScript","stars":10526,"forks":1421,"topics":["agent-plugins","agentic-framework","ai","apps-sdk","chatgpt","claude-code","claude-connectors","llms","mcp","mcp-apps","mcp-client","mcp-gateway","mcp-inspector","mcp-server","mcp-servers","mcp-tools","mcp-ui","model-context-protocol","modelcontextprotocol","skills"],"archived":false,"github_pushed_at":"2026-08-25T19:49:48+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/mcp-use-mcp-use","markdown_url":"https://www.graphcanon.com/tools/mcp-use-mcp-use.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mcp-use-mcp-use","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mcp-use-mcp-use","shared_categories":[]},{"slug":"jamubc-gemini-mcp-tool","name":"gemini-mcp-tool","tagline":"MCP server for AI assistant interaction with Google Gemini CLI","github_url":"https://github.com/jamubc/gemini-mcp-tool","owner":"jamubc","repo":"gemini-mcp-tool","owner_avatar_url":"https://avatars.githubusercontent.com/u/150970140?v=4","primary_language":"TypeScript","stars":2276,"forks":199,"topics":["ai","claude","cli","codebase-analysis","file-analysis","gemini","mcp","model-context-protocol","npm","typescript"],"archived":false,"github_pushed_at":"2026-07-21T23:37:16+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/jamubc-gemini-mcp-tool","markdown_url":"https://www.graphcanon.com/tools/jamubc-gemini-mcp-tool.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jamubc-gemini-mcp-tool","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jamubc-gemini-mcp-tool","shared_categories":[]},{"slug":"secretiveshell-mcp-bridge","name":"MCP-Bridge","tagline":"A middleware for an openAI compatible endpoint to call MCP tools","github_url":"https://github.com/SecretiveShell/MCP-Bridge","owner":"SecretiveShell","repo":"MCP-Bridge","owner_avatar_url":"https://avatars.githubusercontent.com/u/84923604?v=4","primary_language":"Python","stars":928,"forks":117,"topics":["ai","claude","mcp","mcp-server","mcp-servers","model-context-protocol","openai","openai-api"],"archived":false,"github_pushed_at":"2025-12-08T15:22:32+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/secretiveshell-mcp-bridge","markdown_url":"https://www.graphcanon.com/tools/secretiveshell-mcp-bridge.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/secretiveshell-mcp-bridge","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=secretiveshell-mcp-bridge","shared_categories":["inference-serving"]},{"slug":"zaidmukaddam-scira-mcp-chat","name":"scira-mcp-chat","tagline":"A minimalist MCP client with a robust feature set","github_url":"https://github.com/zaidmukaddam/scira-mcp-chat","owner":"zaidmukaddam","repo":"scira-mcp-chat","owner_avatar_url":"https://avatars.githubusercontent.com/u/76097144?v=4","primary_language":"TypeScript","stars":827,"forks":206,"topics":["anthropic","grok3","mcp","mcp-client","model-context-protocol","openai","xai"],"archived":false,"github_pushed_at":"2025-12-11T08:10:51+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/zaidmukaddam-scira-mcp-chat","markdown_url":"https://www.graphcanon.com/tools/zaidmukaddam-scira-mcp-chat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zaidmukaddam-scira-mcp-chat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zaidmukaddam-scira-mcp-chat","shared_categories":["llm-frameworks"]},{"slug":"jonigl-mcp-client-for-ollama","name":"mcp-client-for-ollama","tagline":"TUI MCP Client for Ollama enables local LLM interaction with extensive features.","github_url":"https://github.com/jonigl/mcp-client-for-ollama","owner":"jonigl","repo":"mcp-client-for-ollama","owner_avatar_url":"https://avatars.githubusercontent.com/u/4612832?v=4","primary_language":"Python","stars":783,"forks":114,"topics":["agentic-ai","ai","command-line-tool","harness","linux","local-llm","macos","mcp","mcp-client","mcp-prompts","mcp-resouces","mcp-server","mcp-tools","model-context-protocol","ollama","open-source","sse","stdio","streamable-http","windows"],"archived":false,"github_pushed_at":"2026-07-27T08:34:02+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/jonigl-mcp-client-for-ollama","markdown_url":"https://www.graphcanon.com/tools/jonigl-mcp-client-for-ollama.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jonigl-mcp-client-for-ollama","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jonigl-mcp-client-for-ollama","shared_categories":["inference-serving"]},{"slug":"rekog-labs-mcp-nest","name":"MCP-Nest","tagline":"A NestJS module for creating MCP servers to expose AI tools and resources","github_url":"https://github.com/rekog-labs/MCP-Nest","owner":"rekog-labs","repo":"MCP-Nest","owner_avatar_url":"https://avatars.githubusercontent.com/u/153384226?v=4","primary_language":"TypeScript","stars":683,"forks":111,"topics":["llm","llms","mcp","mcp-nest","model-context-protocol","modelcontextprotocol","nestjs"],"archived":false,"github_pushed_at":"2026-07-27T12:44:52+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/rekog-labs-mcp-nest","markdown_url":"https://www.graphcanon.com/tools/rekog-labs-mcp-nest.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rekog-labs-mcp-nest","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rekog-labs-mcp-nest","shared_categories":["inference-serving"]}]}}