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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.

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

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.

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.

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.

An MCP server for Fastmail that provides access to email, contacts, and calendars via the JMAP protocol. It enables users to search, send, and bulk-manage emails while also interacting with calendar events and address books through natural language.

An unofficial MCP server that enables users to manage their Fastmail accounts through natural language interactions. It provides tools to query mailboxes, retrieve email content with advanced filtering, and send messages directly through the Fastmail API.

A Model Context Protocol (MCP) server that provides access to the Fastmail API, enabling AI assistants to interact with email, contacts, and calendar data.

A starter template for building MCP servers with FastMCP, providing testing, linting, formatting, and NPM publishing setup.

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 demonstration MCP server built with FastMCP that provides basic tools (addition calculator), dynamic resources (personalized greetings), and prompt templates, designed to run on Wasmer Edge.

A minimal example server implementing the Model Context Protocol, providing addition and multiplication tools for learning and experimentation with MCP clients.

Educational example of an MCP server built with FastMCP, demonstrating how to expose tools, resources, and prompts for AI clients.

A collection of MCP servers providing utilities including user greeting, message decoding, text file reading with PDF summary generation, and NASA-quality code auditing using a trained AI model to predict software defects and measure code complexity.

Enables users to manage Gmail by fetching recent emails with pagination and creating new or reply drafts via the Gmail API. It provides a seamless interface for interacting with email content and drafting responses within Gemini-CLI.

Provides secure filesystem operations, HTTP fetching with SSRF protection, JSON validation, artifact logging, and optional Redis key-value storage through both stdio and HTTP transports. Features production-ready security controls including sandbox enforcement, allowlist validation, and comprehensive input validation.

Fast MCP Proper

Python MCP server with CI/CD tooling and testability built-in

A simple calculator MCP server that provides basic arithmetic functions (add and subtract) through HTTP transport, designed to be cloud-ready and easily deployable.