MCPHub LabRegistrytadata-org/fastapi_mcp
tadata-org

tadata org/fastapi_mcp

Built by tadata-org • 11,715 stars

What is tadata org/fastapi_mcp?

A high-performance MCP server implementation for tadata-org/fastapi_mcp that bridges the gap between the Model Context Protocol and external services. It allows Large Language Models to interact with your data and tools with low latency and native support.

How to use tadata org/fastapi_mcp?

1. Ensure you have an MCP-compatible client (like Claude Desktop) installed. 2. Configure your server with: npx @modelcontextprotocol/tadata-org/fastapi_mcp 3. Restart your client and verify the new tools are available in the system catalog.
🛡️ Scoped (Restricted)
npx @modelcontextprotocol/tadata-org-fastapi_mcp --scope restricted
🔓 Unrestricted Access
npx @modelcontextprotocol/tadata-org-fastapi_mcp

Key Features

Native MCP Protocol Support
High-performance Data Streaming
Type-safe Tool Definitions
Seamless Environment Integration

Optimized Use Cases

Connecting external databases to AI workflows
Automating workflow tasks via natural language
Augmenting developer productivity with specialized tools

tadata org/fastapi_mcp FAQ

Q

What is an MCP server?

MCP is an open standard that enables developers to build secure, two-way integrations between AI models and local or remote data sources.

Q

Is this server ready for production?

Yes, this server follows standard MCP security patterns and tool-restricted access.

Official Documentation

View on GitHub
<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.

Global Ranking

7.6
Trust ScoreMCPHub Index

Based on codebase health & activity.

Manual Config

{ "mcpServers": { "tadata-org-fastapi_mcp": { "command": "npx", "args": ["tadata-org-fastapi_mcp"] } } }