[{"_1":2,"_284":-5,"_285":-5},"loaderData",{"_3":4,"_34":35,"_36":37,"_38":39,"_228":229},"root",{"_5":6,"_22":23},"toasts",[7,14,16,18,20],{"_8":9,"_10":11,"_12":13},"uid","bbb82a0c-fdcf-40c8-8fc3-1ff8f2bf0383","title","This MCP server does not support inspection","type","error",{"_8":15,"_10":11,"_12":13},"29ab7fb0-406a-4295-b918-c387a1dac4b5",{"_8":17,"_10":11,"_12":13},"63196efa-5490-4634-9dab-5a290e34cbff",{"_8":19,"_10":11,"_12":13},"37a8ed76-b126-4c66-a6bc-413c2f3d4b86",{"_8":21,"_10":11,"_12":13},"a7969186-e2c3-41dd-8447-3206af252526","visitor",{"_24":25,"_26":27},"viewportWidth",1280,"visitorSession",{"_28":29,"_31":-5,"_8":32,"_33":-5},"attributes",[30],"BOT","membership","ZFKkjgB41d","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_40":-5,"_41":42,"_43":44,"_147":148},"githubUser","maintainer",false,"mcpServer",{"_45":46,"_47":48,"_28":54,"_59":60,"_61":60,"_62":63,"_68":69,"_92":-5,"_93":94,"_95":42,"_96":97,"_78":116,"_117":83,"_118":-5,"_119":-5,"_120":121,"_122":123,"_130":-5,"_131":132,"_137":-5,"_104":79,"_138":139,"_143":-5,"_8":144,"_145":146},"addedAt",["D",1741615307831],"argumentsJsonSchema",{"_49":50,"_51":52,"_12":53},"properties",{},"required",[],"object",[55,56,57,58],"category:developer-tools","hosting:hybrid","language:python","license_grade:a","descriptionMarkdown","A zero-configuration tool that automatically exposes FastAPI endpoints as Model Context Protocol (MCP) tools, allowing LLM systems like Claude to interact with your API without additional coding.","descriptionPlainText","githubProject",{"_64":65,"_66":67},"readme","

FastAPI-MCP

A zero-configuration tool for automatically exposing FastAPI endpoints as Model Context Protocol (MCP) tools.

\n\n[![PyPI version](https://badge.fury.io/py/fastapi-mcp.svg)](https://pypi.org/project/fastapi-mcp/)\n[![Python Versions](https://img.shields.io/pypi/pyversions/fastapi-mcp.svg)](https://pypi.org/project/fastapi-mcp/)\n[![FastAPI](https://img.shields.io/badge/FastAPI-009485.svg?logo=fastapi&logoColor=white)](#)\n![](https://badge.mcpx.dev?type=dev 'MCP Dev')\n\n

\n\n

$\"fastapi-mcp-usage\"$

\n\n\n## Features\n\n- **Direct integration** - Mount an MCP server directly to your FastAPI app\n- **Zero configuration** required - just point it at your FastAPI app and it works\n- **Automatic discovery** of all FastAPI endpoints and conversion to MCP tools\n- **Preserving schemas** of your request models and response models\n- **Preserve documentation** of all your endpoints, just as it is in Swagger\n- **Extend** - Add custom MCP tools alongside the auto-generated ones\n\n## Installation\n\nWe recommend using [uv](https://docs.astral.sh/uv/), a fast Python package installer:\n\n```bash\nuv add fastapi-mcp\n```\n\nAlternatively, you can install with pip:\n\n```bash\npip install fastapi-mcp\n```\n\n## Basic Usage\n\nThe simplest way to use FastAPI-MCP is to add an MCP server directly to your FastAPI application:\n\n```python\nfrom fastapi import FastAPI\nfrom fastapi_mcp import add_mcp_server\n\n# Your FastAPI app\napp = FastAPI()\n\n# Mount the MCP server to your app\nadd_mcp_server(\n app, # Your FastAPI app\n mount_path=\"/mcp\", # Where to mount the MCP server\n name=\"My API MCP\", # Name for the MCP server\n)\n```\n\nThat's it! Your auto-generated MCP server is now available at `https://app.base.url/mcp`.\n\n## Advanced Usage\n\nFastAPI-MCP provides several ways to customize and control how your MCP server is created and configured. Here are some advanced usage patterns:\n\n```python\nfrom fastapi import FastAPI\nfrom fastapi_mcp import add_mcp_server\n\napp = FastAPI()\n\nmcp_server = add_mcp_server(\n app, # Your FastAPI app\n mount_path=\"/mcp\", # Where to mount the MCP server\n name=\"My API MCP\", # Name for the MCP server\n describe_all_responses=True, # False by default. Include all possible response schemas in tool descriptions, instead of just the successful response.\n describe_full_response_schema=True # False by default. Include full JSON schema in tool descriptions, instead of just an LLM-friendly response example.\n)\n\n# Optionally add custom tools in addition to existing APIs.\n@mcp_server.tool()\nasync def get_server_time() -> str:\n \"\"\"Get the current server time.\"\"\"\n from datetime import datetime\n return datetime.now().isoformat()\n```\n\n## Examples\n\nSee the [examples](examples) directory for complete examples.\n\n## Connecting to the MCP Server using SSE\n\nOnce your FastAPI app with MCP integration is running, you can connect to it with any MCP client supporting SSE, such as Cursor:\n\n1. Run your application.\n\n2. In Cursor -> Settings -> MCP, use the URL of your MCP server endpoint (e.g., `http://localhost:8000/mcp`) as sse.\n\n3. Cursor will discover all available tools and resources automatically.\n\n## Connecting to the MCP Server using [mcp-proxy stdio](https://github.com/sparfenyuk/mcp-proxy?tab=readme-ov-file#1-stdio-to-sse) \n\nIf your MCP client does not support SSE, for example Claude Desktop: \n\n1. Run your application.\n\n2. Install [mcp-proxy](https://github.com/sparfenyuk/mcp-proxy?tab=readme-ov-file#installing-via-pypi), for example: `uv tool install mcp-proxy`.\n\n3. Add in Claude Desktop MCP config file (`claude_desktop_config.json`):\n\nOn Windows:\n```json\n{\n \"mcpServers\": {\n \"my-api-mcp-proxy\": {\n \"command\": \"mcp-proxy\",\n \"args\": [\"http://127.0.0.1:8000/mcp\"]\n }\n }\n}\n```\nOn MacOS: \n```json\n{\n \"mcpServers\": {\n \"my-api-mcp-proxy\": {\n \"command\": \"/Full/Path/To/Your/Executable/mcp-proxy\",\n \"args\": [\"http://127.0.0.1:8000/mcp\"]\n }\n }\n}\n```\nFind the path to mcp-proxy by running in Terminal: `which mcp-proxy`.\n\n4. Claude Desktop will discover all available tools and resources automatically\n\n## Development and Contributing\n\nThank you for considering contributing to FastAPI-MCP open source projects! It’s people like you that make it a reality for users in our community.\n\nBefore you get started, please see [CONTRIBUTING.md](CONTRIBUTING.md).\n\n## Community\n\nJoin [MCParty Slack community](https://join.slack.com/t/themcparty/shared_invite/zt-30yxr1zdi-2FG~XjBA0xIgYSYuKe7~Xg) to connect with other MCP enthusiasts, ask questions, and share your experiences with FastAPI-MCP.\n\n## Requirements\n\n- Python 3.10+\n- uv\n\n## License\n\nMIT License. Copyright (c) 2024 Tadata Inc.\n\n## About\n\nDeveloped and maintained by [Tadata Inc.](https://github.com/tadata-org)\n","url","https://github.com/tadata-org/fastapi_mcp","githubRepository",{"_70":71,"_72":73,"_74":75,"_76":77,"_78":79,"_80":81,"_85":86,"_87":88,"_90":91},"defaultBranch","main","fullName","tadata-org/fastapi_mcp","githubTreeId",104443,"language","Python","name","fastapi_mcp","owner",{"_82":83,"_8":84},"login","tadata-org","4OwhVlJQog","recentStargazers",184,"spdxLicense",{"_78":89},"MIT License","stargazers",401,"glamaJson","id",1751,"inspectable","integrations",[98,109],{"_99":100,"_106":107,"_8":108},"brand",{"_101":102,"_78":103,"_104":105},"logoSvgPath","M12 .0387C5.3729.0384.0003 5.3931 0 11.9988c-.001 6.6066 5.372 11.9628 12 11.9625 6.628.0003 12.001-5.3559 12-11.9625-.0003-6.6057-5.3729-11.9604-12-11.96m-.829 5.4153h7.55l-7.5805 5.3284h5.1828L5.279 18.5436q2.9466-6.5444 5.892-13.0896","FastAPI","slug","fastapi","description","Automatically exposes FastAPI endpoints as Model Context Protocol (MCP) tools, preserving schemas and documentation","fje1nst7g6",{"_99":110,"_106":114,"_8":115},{"_101":111,"_78":112,"_104":113},"M12 0C5.383 0 0 5.383 0 12s5.383 12 12 12c6.616 0 12-5.383 12-12S18.616 0 12 0zm0 1.144c5.995 0 10.856 4.86 10.856 10.856 0 5.995-4.86 10.856-10.856 10.856-5.996 0-10.856-4.86-10.856-10.856C1.144 6.004 6.004 1.144 12 1.144zM8.37 5.868a6.707 6.707 0 0 0-.423.005c-.983.056-1.573.517-1.735 1.472-.115.665-.096 1.348-.143 2.017-.013.35-.05.697-.115 1.038-.134.609-.397.798-1.016.83a2.65 2.65 0 0 0-.244.042v1.463c1.126.055 1.278.452 1.37 1.629.033.429-.013.858.015 1.287.018.406.073.808.156 1.2.259 1.075 1.307 1.435 2.575 1.218v-1.283c-.203 0-.383.005-.558 0-.43-.013-.591-.12-.632-.535-.056-.535-.042-1.08-.075-1.62-.064-1.001-.175-1.988-1.153-2.625.503-.37.868-.812.983-1.398.083-.41.134-.821.166-1.237.028-.415-.023-.84.014-1.25.06-.665.102-.937.9-.91.12 0 .235-.017.369-.027v-1.31c-.16 0-.31-.004-.454-.006zm7.593.009a4.247 4.247 0 0 0-.813.06v1.274c.245 0 .434 0 .623.005.328.004.577.13.61.494.032.332.031.669.064 1.006.065.669.101 1.347.217 2.007.102.544.475.95.941 1.283-.817.549-1.057 1.333-1.098 2.215-.023.604-.037 1.213-.069 1.822-.028.554-.222.734-.78.748-.157.004-.31.018-.484.028v1.305c.327 0 .627.019.927 0 .932-.055 1.495-.507 1.68-1.412.078-.498.124-1 .138-1.504.032-.461.028-.927.074-1.384.069-.715.397-1.01 1.112-1.057a.972.972 0 0 0 .199-.046v-1.463c-.12-.014-.204-.027-.291-.032-.536-.023-.804-.203-.937-.71a5.146 5.146 0 0 1-.152-.993c-.037-.618-.033-1.241-.074-1.86-.08-1.192-.794-1.753-1.887-1.786zm-6.89 5.28a.844.844 0 0 0-.083 1.684h.055a.83.83 0 0 0 .877-.78v-.046a.845.845 0 0 0-.83-.858zm2.911 0a.808.808 0 0 0-.834.78c0 .027 0 .05.004.078 0 .503.342.826.859.826.507 0 .826-.332.826-.853-.005-.503-.342-.836-.855-.831zm2.963 0a.861.861 0 0 0-.876.835c0 .47.378.849.849.849h.009c.425.074.853-.337.881-.83.023-.457-.392-.854-.863-.854z","Swagger","swagger","Preserves documentation of all endpoints just as it is in Swagger","rab2s7vnvo","FastAPI-MCP","namespace","npmPackage","prompts","redditPostForeignId","1jb8qc1","relatedMcpServerIds",[124,125,126,127,128,129],741,1750,1048,1238,800,624,"resources","scores",{"_133":134,"_135":-5,"_136":-5},"license",100,"quality","security","simpleIcon","supportedPlatforms",[140,141,142],"WINDOWS","LINUX","MACOS","tools","otm6rcvu3e","updatedAt",["D",1743372111514],"meta",[149,151,153,160,163,165,168,171,174,177,180,182,185,188,190,192,194,196,198],{"_10":150},"FastAPI-MCP | Glama",{"_152":60,"_78":106},"content",{"_154":155,"_156":157,"_158":159},"href","https://glama.ai/mcp/servers/@tadata-org/fastapi_mcp","rel","canonical","tagName","link",{"_152":116,"_161":162},"property","og:title",{"_152":60,"_161":164},"og:description",{"_152":166,"_161":167},"https://glama.ai/logo.png","og:logo",{"_152":169,"_161":170},"https://glama.ai/mcp/servers/@tadata-org/fastapi_mcp/og-image","og:image",{"_152":172,"_161":173},"630","og:image:height",{"_152":175,"_161":176},"1200","og:image:width",{"_152":178,"_161":179},"website","og:type",{"_152":155,"_161":181},"og:url",{"_152":183,"_161":184},"ChatGPT alternative for power users","og:site_name",{"_152":186,"_78":187},"summary_large_image","twitter:card",{"_152":183,"_78":189},"twitter:title",{"_152":60,"_78":191},"twitter:description",{"_152":169,"_78":193},"twitter:image",{"_152":172,"_78":195},"twitter:image:height",{"_152":175,"_78":197},"twitter:image:width",{"_199":200},"script:ld+json",{"_201":202,"_203":204},"@context","http://schema.org","@graph",[205],{"_201":206,"_207":208,"_209":210},"https://schema.org","@type","BreadcrumbList","itemListElement",[211,218,222,226],{"_207":212,"_213":214,"_78":215,"_216":217},"ListItem","item","https://glama.ai/","Glama","position",1,{"_207":212,"_213":219,"_78":220,"_216":221},"https://glama.ai/mcp","MCP",2,{"_207":212,"_213":223,"_78":224,"_216":225},"https://glama.ai/mcp/servers","Servers",3,{"_207":212,"_213":155,"_78":116,"_216":227},4,"routes/_public/mcp/servers/~namespace/~slug/_pages/_explorer/blob/~branch/~/_route",{"_230":231,"_235":71,"_43":236,"_255":256,"_257":258},"blob",{"_152":232,"_233":234},"include LICENSE\ninclude README.md\ninclude INSTALL.md\ninclude pyproject.toml\ninclude setup.py\n\nrecursive-include examples *.py *.md\nrecursive-include tests *.py\n\nglobal-exclude *.py[cod] __pycache__ *.so *.dylib .DS_Store ","fileName","MANIFEST.in","branch",{"_45":237,"_47":238,"_28":241,"_59":60,"_61":60,"_62":242,"_68":243,"_92":-5,"_93":94,"_95":42,"_96":246,"_78":116,"_117":83,"_118":-5,"_119":-5,"_120":121,"_122":251,"_130":-5,"_131":252,"_137":-5,"_104":79,"_138":253,"_143":-5,"_8":144,"_145":254},["D",1741615307831],{"_49":239,"_51":240,"_12":53},{},[],[55,56,57,58],{"_64":65,"_66":67},{"_70":71,"_72":73,"_74":75,"_76":77,"_78":79,"_80":244,"_85":86,"_87":245,"_90":91},{"_82":83,"_8":84},{"_78":89},[247,249],{"_99":248,"_106":107,"_8":108},{"_101":102,"_78":103,"_104":105},{"_99":250,"_106":114,"_8":115},{"_101":111,"_78":112,"_104":113},[124,125,126,127,128,129],{"_133":134,"_135":-5,"_136":-5},[140,141,142],["D",1743372111514],"path","","treeMembers",[259,262,263,265,267,269,271,273,275,276,278,280,282],{"_255":260,"_12":261},"examples","tree",{"_255":79,"_12":261},{"_255":264,"_12":261},".github",{"_255":266,"_12":261},"tests",{"_255":268,"_12":230},"CHANGELOG.md",{"_255":270,"_12":230},"CONTRIBUTING.md",{"_255":272,"_12":230},".gitignore",{"_255":274,"_12":230},"LICENSE",{"_255":234,"_12":230},{"_255":277,"_12":230},"pyproject.toml",{"_255":279,"_12":230},"README.md",{"_255":281,"_12":230},"setup.py",{"_255":283,"_12":230},"uv.lock","actionData","errors"]