fastapi_mcp
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
MCP Relevance Analysis
Summary
fastapi_mcp is a high relevance project related to Model Context Protocol. It has 3990 stars and 325 forks on GitHub.
Key Features
- MCP integration capabilities
- AI context management
- Language model communication
- Structured data processing
Use Cases
- Enhancing LLM context handling
- Improving model response quality
- Building more effective AI applications
README
FastAPI-MCP#
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
Features#
-
Authentication built in, using your existing FastAPI dependencies!
-
FastAPI-native: Not just another OpenAPI -> MCP converter
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Zero/Minimal configuration required - just point it at your FastAPI app and it works
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Preserving schemas of your request models and response models
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Preserve documentation of all your endpoints, just as it is in Swagger
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Flexible deployment - Mount your MCP server to the same app, or deploy separately
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ASGI transport - Uses FastAPI's ASGI interface directly for efficient communication
Installation#
We recommend using uv, a fast Python package installer:
bashuv add fastapi-mcp
Alternatively, you can install with pip:
bashpip install fastapi-mcp
Basic Usage#
The simplest way to use FastAPI-MCP is to add an MCP server directly to your FastAPI application:
pythonfrom 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. Additionaly, check out the examples directory 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 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.
Community#
Join MCParty Slack community 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) 2024 Tadata Inc.