fastapi_mcp
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
- 12k stars
- 969 forks
- 174 open issues
- Language: Python
- License: MIT
- updated
Install
local · pip / pythonclaude mcp add fastapi-mcp -- python -m fastapi-mcp{
"mcpServers": {
"fastapi-mcp": {
"command": "python",
"args": ["-m", "fastapi-mcp"]
}
}
}{
"mcpServers": {
"fastapi-mcp": {
"command": "python",
"args": ["-m", "fastapi-mcp"]
}
}
}- Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
- Replace any <placeholder> values with your API keys or paths.
- Restart Claude. The MCP server and its tools appear automatically.
Install first: pip install fastapi-mcp
Editor's note
FastAPI-MCP is a Python library that automatically converts existing FastAPI endpoints into Model Context Protocol tools, making them available to MCP-compatible clients such as Claude Desktop, Cursor, and Windsurf. Developers install it via pip or uv, instantiate a `FastApiMCP` object pointing at their FastAPI app, call `mcp.mount()`, and the MCP server becomes accessible at `/mcp` on the same base URL with no further configuration required. Rather than simply parsing an OpenAPI schema, the library integrates natively with FastAPI, using its ASGI interface to communicate directly without additional HTTP round-trips and preserving existing `Depends()`-based authentication and authorization logic without rewriting it. Request and response model schemas, along with Swagger documentation, carry over automatically to the generated tools. The server can be mounted alongside the existing app or deployed separately. Python 3.10 or higher is required, with 3.12 recommended. The library suits backend developers who want to expose their existing API logic to LLM-driven workflows without maintaining a parallel service or duplicating security code.
MCP Servers overview
Built by Tadata
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-mcpAlternatively, you can install with pip:
pip install fastapi-mcpBasic 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 authorizationASGI 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.
What people ask about fastapi_mcp
What is tadata-org/fastapi_mcp?
tadata-org/fastapi_mcp is mcp servers for the Claude AI ecosystem. Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth! It has 12k GitHub stars and its last recorded update is dated 2025-11-24.
How do I install fastapi_mcp?
You can install fastapi_mcp by cloning the repository (https://github.com/tadata-org/fastapi_mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is tadata-org/fastapi_mcp safe to use?
Our security agent has analyzed tadata-org/fastapi_mcp and assigned a Trust Score of 90/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains tadata-org/fastapi_mcp?
tadata-org/fastapi_mcp is maintained by tadata-org. The last recorded GitHub activity is dated 2025-11-24, with 174 open issues.
Are there alternatives to fastapi_mcp?
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
Maintain this repo? Show its Trust Score in your README
The badge shows this repository's current Trust Score and verdict, and links back to this page. It follows the catalogue data: nobody can buy or edit the score it displays.
[](https://claudewave.com/en/repo/tadata-org-fastapi-mcp)<a href="https://claudewave.com/en/repo/tadata-org-fastapi-mcp"><img src="https://claudewave.com/api/badge/tadata-org-fastapi-mcp" alt="ClaudeWave Trust Score for tadata-org/fastapi_mcp" width="320" height="64"></a>