FastAPI-MCP

FastAPI-MCP

Public
tadata-org/fastapi_mcp

Expose FastAPI endpoints as secure, native Model Context Protocol (MCP) tools with minimal configuration, preserving request/response schemas and documentation while enabling flexible deployment and efficient ASGI communication.

python
0 tools
May 29, 2025
Updated Jun 4, 2025

Supercharge Your AI with FastAPI-MCP

MCP Server

Unlock the full potential of FastAPI-MCP through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

Unified API Access
Complete Tracing
Instant Setup
Get Started Now

Free tier available • No credit card required

Instant Setup
99.9% Uptime
10,000+Monthly Requests
Loading...
Related MCPs5
  • FastAPI-MCP

    Automatically expose FastAPI endpoints as Model Context Protocol (MCP) tools with zero configuration, preserving request/response schemas and documentation while enabling flexible deployment and customizable endpoint exposure.

    Added May 30, 2025
  • FastAPI MCP Server

    High-performance Model Context Protocol (MCP) server built with FastAPI offering asynchronous SSE communication, multi-user session management, flexible authentication, and intelligent tool registration for seamless AI model integration and real-time interaction.

    Added May 30, 2025
  • FastAPI MCP SSE

    FastAPI-based Server-Sent Events implementation integrating Model Context Protocol (MCP) to enable AI models seamless access to external tools, real-time data, and extensible web endpoints with customizable routes and modular architecture.

    Added May 30, 2025
  • FastAPI SSE MCP Random

    Implements the Model Context Protocol with FastAPI and Server-Sent Events to provide real-time streaming tools including random number generation, Azure OpenAI DALL-E image creation, AI podcast production, and reflective response capabilities.

    Added May 30, 2025
  • Awesome MCP FastAPI

    FastAPI-based Model Context Protocol implementation offering enhanced tool registry, automatic OpenAPI documentation, robust validation, async support, and seamless integration for managing AI tools with improved error handling and lifecycle management.

    Added May 30, 2025