"FastAPI" matching MCP servers:

A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.

A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).

Enables LLM-powered agents to securely communicate with and orchestrate downstream microservices via FastAPI endpoints exposed as MCP tools.

MCP server for the Enoch FastAPI control-plane API, enabling inspection and operation of an Enoch instance via tools.

Self-hosted MCP governance gateway that aggregates 150+ tools behind policy profiles (strict/balanced/dev) with a per-call audit trail. Python 3.12/FastAPI, Docker-deployable, built for regulated environments that need observability over agent tool calls.

A modular, extensible FastAPI-based platform that aggregates multiple AI tools and microservices into a unified interface with standardized I/O formats, perfect for frontend integration or LLM system orchestration.

Exposes LangChain agent capabilities through the Model Context Protocol, enabling multi-step reasoning tasks with ReAct pattern execution via a production-ready FastAPI service deployed on Google Cloud Run.

Enterprise MCP Skill Hub is a locally runnable reference implementation of a governed reusable skill layer for enterprise agents, exposing approved skills through FastAPI and an MCP-compatible adapter with tools, resources, and prompts.

A modern Model Control Plane (MCP) project that provides a lightweight, extensible foundation for building and deploying intelligent systems that manage and expose AI/LLM capabilities through Python, FastAPI, and Docker.

A FastAPI-based MCP gateway that aggregates multiple MCP servers, applies per-server tool allow/block policies, and re-exposes them as streamable HTTP MCP endpoints. It includes a local LLM safety guard for SQL/PII checks and a request history UI.

A plugin-based MCP server built on FastAPI that supports dynamic tool loading, hot reloading, and API key authentication for extensible AI tool integrations.

A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.