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A REST API built with FastAPI that exposes endpoints via Model Context Protocol (MCP), allowing clients to interact with CRUD operations through MCP interfaces.

A zero-configuration tool that automatically converts FastAPI endpoints into Model Context Protocol (MCP) tools, enabling AI systems to interact with your API through natural language.

Enables Gemini AI to interact with a FastAPI application through MCP tools for user management, task management, and dice rolling functionality. Provides natural language access to REST API endpoints including CRUD operations, health checks, and application statistics.

A FastAPI-integrated MCP server that provides mathematical operations like addition and multiplication using Pandas for data manipulation. It serves as a comprehensive example for implementing different tool registration patterns and real-time communication via Server-Sent Events.

A FastAPI library that provides Model Context Protocol tools for endpoint introspection and OpenAPI documentation, allowing AI agents to discover and understand API endpoints.

Fastapi MCP Server 3b7bfcda

FastAPI MCP Server は、FastAPI を用いた MCP (Model Context Protocol) サーバーです。 このプロジェクトは、各種ツールやデータソースへのアクセスを統一的に実現することを目指します。

Wraps a FastAPI application as an MCP server, enabling user and task management operations through Gemini CLI tool calling with full CRUD functionality.

Enables interaction with Supabase databases and n8n workflows through a JSON-RPC 2.0 MCP server. Provides database operations, vector search capabilities, and webhook-based workflow automation with secure API token authentication.

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.

A sample FastAPI project that implements the Model Context Protocol (MCP), allowing AI assistants to connect to a PostgreSQL database and manage notes through natural language interactions.

Production-ready API server template integrating FastAPI with Model Context Protocol (MCP) for LLM integration, structured logging, and comprehensive testing.

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 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.

Converts FastAPI application OpenAPI documentation into MCP tools for AI assistants to efficiently query API information. Reduces token consumption by enabling on-demand, structured API queries instead of loading complete OpenAPI specifications.

A production-ready Model Context Protocol server that provides mathematical calculations, time zone information, and message echoing capabilities through both WebSocket and HTTP endpoints. Built with FastAPI for robust API functionality and interactive documentation.

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 AI-powered code editing with preview and validation capabilities through FastApply language models. Features automatic backups, atomic file operations, and support for multiple FastApply-compatible backends like LM Studio and Ollama.

Enables AI-driven semantic code search using Windsurf's reverse-engineered SWE-grep protocol to query local codebases with natural language. It executes local search tools like ripgrep and tree-node-cli to return relevant file paths and line ranges to MCP-compatible clients.

Fastexecl MCP Server

全面解析Fastexcel MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Fastexcel MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A completely stabilized filesystem MCP server optimized for Claude with overflow-proof design. Supports simultaneous multi-block editing with zero-failure guarantee, advanced error recovery, and performance-tuned parameters for maximum reliability.