🔓 unclaimed — this page was auto-generated from GitHub. Are you the creator?
Claim this page →
fastapi_mcp
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
{
"mcpServers": {
"fastapi_mcp": {
"command": "npx",
"args": ["-y", "https://github.com/tadata-org/fastapi_mcp"]
}
}
}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
-
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.
Installation
We recommend using uv, a fast Python package installer:
uv add fastapi-mcp
Alternatively, you can install with pip:
pip install fastapi-mcp
Basic Usage
The simplest way to use FastAPI-MCP is to add an MCP server directly to your FastAPI application:
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. 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) 2025 Tadata Inc.
// compatibility
| Platforms | api |
|---|---|
| Operating systems | — |
| AI compatibility | claude |
| License | MIT |
| Pricing | open-source |
| Language | Python |
// faq
What is fastapi_mcp?
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!. It is open-source on GitHub.
Is fastapi_mcp free to use?
fastapi_mcp is open-source under the MIT license, so it is free to use.
What category does fastapi_mcp belong to?
fastapi_mcp is listed under mcp-servers in the Claudeers registry of Claude-compatible tools.
// embed badge
[](https://claudeers.com/fastapimcp)
// retro hit counter
[](https://claudeers.com/fastapimcp)
// reviews
// guestbook
// related in MCP Servers
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete…
A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Gemini CLI & Hermes Agent. Only official website: ccswitch.io
An open-source AI agent that brings the power of Gemini directly into your terminal.