A collection of official Microsoft MCP servers, providing AI assistant integration tools for various services such as Azure, GitHub, Microsoft 365, and Fabric. It supports local and remote deployment, helping developers connect AI models with various data sources and tools through a standardized protocol.

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.

Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.

This is a continuously updated curated list of MCP servers, covering multiple categories such as browser control, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, games, knowledge and memory, location services, marketing, monitoring, search, and utilities. Each project comes with a GitHub link and the number of stars, making it easy for users to quickly understand and use.

The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.

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.

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.

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.

This is a curated list of Web3 Model Context Protocol (MCP) servers, covering multiple categories such as chain interaction, trading, DeFi, market data, tools, and social. MCP is an open protocol that standardizes how applications provide context to LLMs, similar to the USB - C port for AI applications. DeMCP is the first decentralized MCP network, focusing on providing self - developed and open - source MCP services for agents, supporting cryptocurrency payments, and redefining the security and reliability of MCP by combining TEE and blockchain registries.

MCPAdapt is an open - source project aiming to seamlessly integrate the tools of over 650 MCP servers into various agent frameworks, enabling developers to easily use these tools in their agent 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.

The LongPort OpenAPI SDK provides programmatic trading and market quote interfaces, supports multiple programming languages, and helps developers build investment strategy analysis and trading tools.

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.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

The official Svelte MCP server project provides development setup guides, local debugging tools, and database management functions.

MCPSvr is an innovative community directory project for MCP servers, originating from the 5ire project. It aims to help developers discover excellent tools and simplify the process of sharing their own MCP servers.

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.

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.

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.

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

An MCP server that provides remote browser control functions through the Chrome Developer Tools Protocol, supporting operations such as script execution, screenshot taking, and network monitoring.

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

This project compiles a list of popular Model Context Protocol (MCP) servers based on Smithery.ai usage data. MCP is an open-source standard developed by Anthropic for establishing secure two-way connections between data sources and AI tools.

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.

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 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.

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 Git Commit Generator is a tool based on the Model Context Protocol that can automatically generate commit messages conforming to the Conventional Commits specification based on staged git changes. It supports multiple installation methods (uvx, PyPI, Docker) and various MCP client configurations, provides functions such as automatic commit message generation and git status checking, and includes developer tools and debugging support.

This is a curated list of developer tools, SDKs, libraries, utilities, and resources for interacting with the Model Context Protocol (MCP) server.

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.

MCP Servers is a dotnet tool collection containing multiple MCP (Model Context Protocol) servers, providing two communication methods: standard input/output (Stdio) and server-sent events (SSE), supporting integration with services such as Azure DevOps, and including client tools and a general framework.

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.

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.

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.