"FastAPI" matching MCP servers:

Enables inventory management through FastAPI with AI chat powered by Ollama, allowing natural language interaction with PostgreSQL data via MCP for clients like Claude Desktop and VS Code.

Exposes FastAPI endpoints as Model Context Protocol (MCP) tools while preserving existing authentication, schemas, and documentation. It enables seamless integration of FastAPI services into MCP ecosystems using a native ASGI transport layer.

A FastAPI MCP server that uses Server-Sent Events as a transport layer, providing echo functionality through tools, resources, and prompts.

Mounts an MCP server onto FastAPI to let AI agents inspect routes, endpoints, and schemas at runtime.

Instantly converts any running FastAPI application into an MCP server by parsing its OpenAPI spec, enabling Claude to call all endpoints via natural language without manual tool writing.

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).

Demonstrates how to integrate Model Context Protocol with Server-Sent Events (SSE) in a FastAPI web application, including a weather service example with tools for getting forecasts and alerts.

A minimal MCP server that provides current time functionality with optional formatting. Designed for production deployment on Google Cloud Run with proper JSON-RPC 2.0 implementation.

Exposes news search and top headlines via GNews API, plus simulated email tools for sending and retrieving emails.

Enables routing of AI model requests for code generation and debugging with API key authentication and rate limiting.

A production-ready Model Context Protocol server built with FastAPI, featuring JWT authentication, PostgreSQL database support, Redis caching, and comprehensive health monitoring for building secure async API applications.

Provides AI assistants with real-time access to FastAPI documentation, enabling search, browsing, code examples, and comparisons.

Enables AI assistants to manage a todo list with full CRUD operations, including creating, reading, updating, and deleting todos via a FastAPI backend with SQLite persistence.

MCP server exposing basic utility functions like addition, current time, and word counting via FastAPI endpoints, designed for learning and extending toward MCP architecture.

A minimal FastAPI implementation that mimics Model Context Protocol functionality with JSON-RPC 2.0 support. Provides basic tools like echo and text transformation through both REST and RPC endpoints for testing MCP-style interactions.

Provides read-only SQL query access to Postgres and DuckDB databases via MCP tools, with extensive security hardening for public endpoints.

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

Internal MCP server for itinerary calculation and AI functions, receiving structured facts from a Spring backend via stateless MCP Streamable HTTP.

A FastAPI server implementing the Model Context Protocol (MCP) for structured tool use, providing utility tools including random number generation, image generation via Azure OpenAI DALL-E, and AI podcast generation.

Enables natural language interaction with FastAPI applications through Google's Gemini AI using MCP tools. Provides CRUD operations for user management and application health monitoring through conversational prompts.