Genkit is an open-source framework for building AI-driven applications, providing Node.js and Go libraries, supporting the integration of multiple AI models and vector databases, and including development tools and a plugin ecosystem.

XcodeBuild MCP is a server that integrates Xcode-related tools for AI assistants and MCP clients, supporting functions such as Xcode project management, simulator control, and app utilities to achieve an automated development process.

wcgw is an MCP server project that integrates Shell and code editing tools, allowing AI to execute commands, read and write files, edit code, etc. on the local machine. It provides multiple modes (such as Architect Mode, Code Writing Mode, etc.), supports task checkpoint saving, terminal interaction, syntax checking, etc., and is suitable for scenarios such as code development and problem troubleshooting.

Refact Agent is an open - source AI programming assistant that supports multi - language code generation, debugging, and optimization. It integrates with mainstream development tools, can be deployed locally, and provides intelligent code completion and code explanation functions.

Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.

The MCP LLMS - TXT Documentation Server is an open - source tool that allows developers to control IDE and application access to llms.txt document resources through the MCP protocol.

ACI.dev is an open-source AI agent tool infrastructure that provides multi-tenant authentication, permission management, and dynamic discovery functions for over 600 pre-integrated tools. It supports calls through a unified MCP Server or a lightweight SDK, simplifying the development of production-level AI agents.

This is an AI development tool project based on Docker containers. It uses Markdown files to write complex workflows, combines Dockerized tools with the LLM model selected by the user, and implements a workflow of multi - model agents and project - priority design.

This project is a collection of learning resources about Model Context Protocol (MCP), including guides, tools, and server implementations, aiming to help developers understand and apply the MCP standard. The project provides multiple example implementations of MCP servers, such as file system operations, Git management, GitHub integration, etc., as well as development guides and practical tools.

LiteMCP is a TypeScript framework for elegantly building MCP (Model Context Protocol) servers. It provides the definition of tools, resources, and prompts, supports full - TypeScript development, has built - in logging, error handling, and CLI debugging tools, as well as SSE transmission support.

The official ModelContextProtocol (MCP) server for Magic UI, providing details on implementing a rich set of UI components and effects, and supporting integration with multiple clients.

Apple Doc MCP is a model context protocol server that provides direct access to Apple developer documentation. It is integrated into the AI programming assistant, supporting intelligent search, framework browsing, and detailed documentation retrieval.

An enterprise-level MCP server development framework based on FastAPI that supports automatic conversion of traditional APIs into AI-callable tools, providing a standardized development process and dependency injection design.

Sentry - MCP is a remote MCP server prototype that acts as upstream middleware for the Sentry API, supporting remote and standard input - output transmission modes.

This project implements functions similar to Claude Code through the MCP protocol, providing tools for code understanding, modification, and command execution. It supports multiple models and Jupyter notebook operations, and has security control and development expansion capabilities.

A curated list of Model Context Protocol (MCP) servers, optimized for AI assistants like Claude, providing services such as file access, database connection, and API integration to extend AI capabilities.

MCP-Photoshop is a project related to image processing, which may involve the development, optimization, or services of Photoshop tools or plugins.

The StrawHat AI development repository provides a complete solution for building local and online AI development environments, including various tools such as the Ollama backend, Open - WebUI frontend, and Claude desktop proxy, supporting rapid deployment and development of AI applications.

This project provides a configuration guide for the MCP service integrated with Shortcut, supporting operation in AI development tools such as Windsurf, Cursor, and Claude Code, including installation instructions, FAQs, and local development testing methods.

A configuration - driven MCP server that provides developers with command execution and long - term process management functions through JSON configuration files, and supports automatic generation of daemon control commands

The Feishu MCP Server provides Feishu document access capabilities for AI coding tools, supporting document creation, content operation, and editing, thereby improving development efficiency.

A project that encapsulates the Go language server protocol based on gopls, providing language service functions such as code navigation, diagnosis, and refactoring through the MCP protocol

Cursor Rust Tools is an MCP server that provides access to Rust Analyzer, Crate documentation, and Cargo commands for the LLM in Cursor, improving the efficiency of AI agents in Rust development.

Xcode-MCP is an MCP server that provides comprehensive management tools for Xcode projects, supporting full - process operations in iOS development such as building, testing, packaging, and signing.

An MCP server integrated with the ClimateTriage API, providing tools to search for open-source issues related to climate change and sustainable development.

A comprehensive Stacks blockchain MCP server, offering over 30 professional tools for Clarity smart contract development, SIP standard compliance, security, and performance optimization, supporting the complete dApp development process.

A TypeScript MCP server that provides reference information for shadcn/ui components

The Flutter MCP Server is an open - source implementation of the Model Context Protocol (MCP) for the Dart/Flutter ecosystem. It provides a unified API interface for AI assistants and developer tools, supports remote calls to the Dart/Flutter development toolchain, and enables secure and programmable automated development processes.

An enterprise-level MCP server that provides intelligent analysis of GitHub repositories and AI development assistance, including 11 tools, supporting Docker deployment and real-time monitoring.

The MCP Proxy Sidecar is an enhanced JetBrains MCP server with WebSocket monitoring functionality, supporting real - time viewing of tool call situations.

This project provides a set of tools and services to integrate Power Platform CLI, Graph API, and Azure REST API through the Model Context Protocol (MCP), support interaction with AI models, and simplify the development process.

An MCP server implementation designed for Starwind UI, providing component development assistance tools

The React Native MCP server is a platform that provides comprehensive development tools, aiming to optimize the React Native development experience. It includes functions such as project initialization, version management, automated upgrades, and Expo integration. It simplifies the development process through AI assistance.

This is a development template for the Model Context Protocol (MCP) based on TypeScript, providing a complete foundation for building MCP clients and servers, including production-grade tools, sample code, and clear documentation, supporting rapid development and expansion.

This project is a Python-based MCP server template designed to simplify the AI-assisted development process and provide a standardized implementation of the tool interaction protocol. It includes a weather service example, embedded protocol documentation, and Cursor Rules integration, supports multiple transmission modes, and helps developers quickly build tools that comply with MCP specifications.

The Nia Codebase MCP service provides code understanding and integration functions

This project is a module that connects to the French enterprise search API. It supports searching for French enterprise information through text and geographical coordinates, provides key data such as enterprise names and SIREN/SIRET numbers, and includes development tools and debugging support.

A comprehensive Node.js development tool server that provides automation capabilities for project creation, component generation, configuration management, etc.

The MCP Python Toolbox is a service that implements the model context protocol, providing a comprehensive Python development toolset for AI assistants.

This project implements the Model Context Protocol (MCP) as a practical solution for the Personal Intelligence Framework (PIF). It builds a meaningful space for the development of understanding between humans and AI through structured tools and a progressive interaction mode.