fastapi_mcp

<p align="center"><a href="https://github.com/tadata-org/fastapi_mcp"><img src="https://github.com/user-attachments/assets/7e44e98b-a0ba-4aff-a68a-4ffee3a6189c" alt="fastapi-to-mcp" height=100/></a></p> <div align="center"> <span style="font-size: 0.85em; font-weight: normal;">Built by <a href="https://tadata.com">Tadata</a></span> </div> <h1 align="center"> FastAPI-MCP </h1> <div align="center"> <a href="https://trendshift.io/repositories/14064" target="_blank"><img src="https://trendshift.io/api/badge/repositories/14064" alt="tadata-org%2Ffastapi_mcp | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> </div> <p align="center">Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!</p> <div align="center"> [](https://pypi.org/project/fastapi-mcp/) [](https://pypi.org/project/fastapi-mcp/) [](#) [](https://github.com/tadata-org/fastapi_mcp/actions/workflows/ci.yml) [](https://codecov.io/gh/tadata-org/fastapi_mcp) </div> <p align="center"><a href="https://github.com/tadata-org/fastapi_mcp"><img src="https://github.com/user-attachments/assets/b205adc6-28c0-4e3c-a68b-9c1a80eb7d0c" alt="fastapi-mcp-usage" height="400"/></a></p> ## Features - **Authentication** built in, using your existing FastAPI dependencies! - **FastAPI-native:** Not just another OpenAPI -> MCP converter - **Zero/Minimal configuration** required - just point it at your FastAPI app and it works - **Preserving schemas** of your request models and response models - **Preserve documentation** of all your endpoints, just as it is in Swagger - **Flexible deployment** - Mount your MCP server to the same app, or deploy separately - **ASGI transport** - Uses FastAPI's ASGI interface directly for efficient communication ## Hosted Solution If you prefer a managed hosted solution check out [tadata.com](https://tadata.com). ## Installation We recommend using [uv](https://docs.astral.sh/uv/), a fast Python package installer: ```bash uv add fastapi-mcp ``` Alternatively, you can install with pip: ```bash pip install fastapi-mcp ``` ## Basic Usage The simplest way to use FastAPI-MCP is to add an MCP server directly to your FastAPI application: ```python from fastapi import FastAPI from fastapi_mcp import FastApiMCP app = FastAPI() mcp = FastApiMCP(app) # Mount the MCP server directly to your FastAPI app mcp.mount() ``` That's it! Your auto-generated MCP server is now available at `https://app.base.url/mcp`. ## Documentation, Examples and Advanced Usage FastAPI-MCP provides [comprehensive documentation](https://fastapi-mcp.tadata.com/). Additionaly, check out the [examples directory](examples) for code samples demonstrating these features in action. ## FastAPI-first Approach FastAPI-MCP is designed as a native extension of FastAPI, not just a converter that generates MCP tools from your API. This approach offers several key advantages: - **Native dependencies**: Secure your MCP endpoints using familiar FastAPI `Depends()` for authentication and authorization - **ASGI transport**: Communicates directly with your FastAPI app using its ASGI interface, eliminating the need for HTTP calls from the MCP to your API - **Unified infrastructure**: Your FastAPI app doesn't need to run separately from the MCP server (though [separate deployment](https://fastapi-mcp.tadata.com/advanced/deploy#deploying-separately-from-original-fastapi-app) is also supported) This design philosophy ensures minimum friction when adding MCP capabilities to your existing FastAPI services. ## Development and Contributing Thank you for considering contributing to FastAPI-MCP! We encourage the community to post Issues and create Pull Requests. Before you get started, please see our [Contribution Guide](CONTRIBUTING.md). ## Community Join [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. ## Requirements - Python 3.10+ (Recommended 3.12) - uv ## License MIT License. Copyright (c) 2025 Tadata Inc.