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fastapi_mcp

Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!

Install / Use

claude mcp add tadata-org -- npx -y github:tadata-org/fastapi_mcp

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

84/100

Supported Platforms

Claude Code
Claude Desktop
Cursor
Windsurf

Tags

Our assessment of fastapi_mcp

fastapi_mcp scores 84/100 on our quality scale, 613th of 963 AI & Machine Learning skills we index.

Its MCP Server is 4.5 KB long, well organised into 11 sections with 3 code examples: a solid amount of guidance for an agent.

With 12,026 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
18/20
Description
12/15
Adoption
17/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 12 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • Our last check on 2026-10-20 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 89/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

fastapi_mcp compared with similar skills

All 4 of these similar skills score higher than fastapi_mcp; compare them before choosing.

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fastapi_mcp (this skill)by tadata-org8412.0k12mo agoMCP Server
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Frequently asked questions

How do I install fastapi_mcp?
Run claude mcp add tadata-org -- npx -y github:tadata-org/fastapi_mcp. The install tabs above show the steps for each supported agent.
Which AI agents does fastapi_mcp work with?
It is written for Claude Code, Claude Desktop, Cursor and Windsurf, as a MCP Server file. Other agents that read the same format can often use it too.
Is fastapi_mcp safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 89/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is fastapi_mcp still maintained?
The repository was last updated about 12 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
<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">

PyPI version Python Versions FastAPI CI Coverage

</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.

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.

Related Skills

View on GitHub
GitHub Stars12.0k
CategoryAI
Updated11mo ago
Forks965

Languages

Python

Trust signals

89/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

2 low