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.

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.

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.

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.

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.

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.

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

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 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 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.

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 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.

BLPAPI-MCP is an MCP server project based on the Bloomberg financial data interface. It requires Bloomberg Terminal support, provides financial data access functions, and supports integration with various AI development tools.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

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

The Osmosis Agent Toolkit is a collection of development tools for interacting with the Osmosis protocol, including core functions, AI SDK integration, and MCP server implementation.

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.

A ready-to-use MCP server template that provides the ability to quickly set up a local AI-assisted development environment, with built-in documentation tools for various technologies and an extensible architecture.

The ZeroPath MCP Server is an open-source project that allows developers to query security findings such as SAST issues, secrets, and patches using natural language, and directly integrate them into AI-assisted tools. It simplifies the process of handling security issues, providing security context directly in the development environment without the need for manual dashboard or ticket management.

The Multi-chain MCP Server is a comprehensive toolkit that provides blockchain interaction capabilities for AI agents, including the MCP server, agent tools, and development kits.

An MCP server that connects Claude Desktop with Kali Linux security tools, a development kit for AI - assisted penetration testing

A customized MCP server by MiniMax for Coding Plan users, providing AI-driven web search and image analysis tools, optimized specifically for the code development workflow, and can be integrated into MCP clients such as Claude Desktop and Cursor to enhance the programming experience.

The AIO-MCP Server is a powerful model context protocol server that integrates multiple services such as GitLab, Jira, Confluence, and YouTube, providing AI-driven search capabilities and development workflow tools.

zio-ella is a development framework for MCP servers on modern AI platforms based on Scala 3 and the ZIO framework, supporting the definition of tools and capabilities and integrating the ZIO technology stack.

A basic project for developing custom MCP servers, providing a complete architectural pattern, example tools, and development infrastructure to support AI assistants in connecting to external data sources or APIs.

OCaml MCP is a project that enhances OCaml development through an AI coding agent, providing an MCP protocol implementation and a development server, and deeply integrating OCaml platform tools such as Dune and Merlin.

An MCP server based on Deno and TypeScript that provides context information query functions for Terragrunt documentation and GitHub issues, aiming to improve the Terragrunt development experience and the accuracy of AI-assisted tools.

The Zhiyan Platform is an open - source platform for agent communication and development, aiming to help AIGC enthusiasts better understand and develop Agents. The platform provides a variety of default Agent functions, such as email sending, information search, weather query, paper search, express delivery query, and document retrieval, and supports users to customize tools. The project supports quick startup and Docker deployment, and plans to add a tool store and automatic build functions in the future.

Swiss MCP is an AI-driven multi-step task coordination center that can integrate various AI tools to complete complex tasks, such as content creation and full-stack application development.

The Magento 2 Development MCP Server provides development functions such as module management, system diagnosis, cache configuration, and database tools for AI agents

This project is a comprehensive collection of Model Context Protocol (MCP) servers, aiming to enhance the capabilities of AI models through standardized integration, covering multiple fields such as databases, network automation, and development tools.

SkyDeckAI Code is an MCP server that provides a comprehensive set of AI-driven development tools, including file operations, code analysis, execution, web content retrieval, search, etc., aiming to enhance the auxiliary capabilities of AI in software development.

aiohttp-mcp is a library based on aiohttp for building server tools compliant with the Model Context Protocol (MCP) standard. It supports asynchronous design and type hints, facilitating the rapid development of MCP services.

The MCP Mobile Server is an AI-driven mobile development toolset that provides 36 powerful Flutter, Android, and iOS development tools for MCP clients such as Claude Desktop, including intelligent device management, automated builds, and cross-platform deployment features, significantly improving mobile development efficiency.