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.

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.

Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.

Each wiki file should store additional resources (such as images) corresponding to its path in the .resource directory and use git lfs for version management.

GitKraken CLI is a command - line tool that provides multi - repository workflow management, AI - generated commit messages and pull requests, and includes a local MCP server for integrating tools such as Git, GitHub, and Jira.

Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.

This project demonstrates an SSE-based implementation mode of the MCP server and client, allowing agents (clients) to connect and use the tools provided by the server at any time, suitable for cloud-native scenarios.

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 MCP server for reading the GitHub repository structure and important files

mcp-client-go is a Golang client library for interacting with Model Context Protocol (MCP) services. It supports multiple services such as Amap and Github and provides a unified API interface.

EDT MCP Server is an MCP protocol server plugin for 1C:EDT, allowing AI assistants (such as Claude, GitHub Copilot, Cursor, etc.) to interact with the EDT workspace, providing functions such as project information query, error reporting, code analysis, metadata management, application debugging, tagging and grouping, and visual form screenshots.

The Windows CLI MCP Server is a secure command-line interaction server that supports PowerShell, CMD, and Git Bash, and provides SSH remote connection functionality.

Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework designed for JupyterLab. It supports models from GitHub Copilot and other LLM providers, including local Ollama models. It significantly enhances productivity through features such as code generation, auto - completion, and chat interfaces, and supports the integration of Model Context Protocol (MCP) services.

This is an automated deployment script project for installing and configuring multiple Model Context Protocol (MCP) robot services on a Windows system, including functions such as file system, GitHub, search, and memory management, and provides detailed installation guides and troubleshooting methods.

The GitHub Actions MCP Server is a service designed for AI assistants to manage and operate GitHub Actions workflows, providing complete process control, run analysis, and secure operation functions.

This project enables querying Dataverse environments using SQL via the MCP protocol, supports AI tools such as GitHub Copilot and Claude Desktop, and provides two installation methods: the dotnet tool and Docker container.

An MCP server implementation that provides git-spice document search functionality for the Cursor IDE

An enhanced MCP server that supports intelligent retrieval, combination, and management of prompts from GitHub repositories, providing advanced search, real-time synchronization, and usage analysis functions.

An MCP server implemented in TypeScript, used to mark AI contributions in Git commits and automatically add the '(aider)' identifier after the committer's name.

An MCP server that can dynamically obtain coding rule files for AI agents from GitHub repositories without local storage, supporting multiple community rule sets and custom rule libraries.

GitHub Mapper is an MCP server that provides tools for GitHub repository analysis and structural mapping.

The official NervusDB MCP Server provides functions such as code knowledge graph construction, project analysis, workflow automation, and code operations, supporting cross - language code relationship analysis and GitHub integration

A server based on the Model Context Protocol for managing GitLab kanban task operations, providing functions such as task list query, creation, update, deletion, and commenting.

GitHub Actions automated workflow configuration, including version update and NPM package publishing functions

A Jotai MCP server project based on Deno, which requires the configuration of a GitHub personal access token to run

This project is a toolset for managing and configuring multiple Model Context Protocol (MCP) servers, mainly serving AI assistants such as Claude Desktop. It provides functions such as file system access, SQLite database queries, web automation, and GitHub integration, and includes installation scripts, configuration templates, and security practice guides.

This is a git repository template for creating new projects

This is an MCP server project for GitHub Advanced Security (GHAS), used to call the security scanning functions of GitHub repositories through the MCP protocol, including dependency alerts, secret scanning alerts, and code scanning alerts. It supports authentication through GitHub CLI or a personal access token and provides an installation method for the VS Code extension.

This project includes multiple GitHub Actions workflows for automated deployment and image publishing, including core service building and deployment, runner image building, and template synchronization to cloud storage.

A TypeScript-based MCP server for automatically marking AI contributions in Git commits. Track AI's modifications to the codebase by adding '(aider)' to the committer's name.

Skill Retriever is an MCP server based on a graph database, specifically designed for the retrieval and installation of Claude Code components. It automatically indexes component repositories on GitHub, returns the minimum correct set of components and their dependencies based on task descriptions through semantic search and graph traversal algorithms, and supports security scanning and automatic synchronization and updates.

This project integrates LLM with GitHub repository management functions through the Model Context Protocol (MCP) standard, providing automated tools such as PR analysis, issue tracking, tag, and version management to optimize team workflows.

UIThub MCP Server is a GitHub repository content interaction service designed for Claude, which can intelligently retrieve and analyze code library content through the API.

This is an example project of building an MCP server with Go language, showing how to create an MCP service and call it through GitHub Copilot.

GistPad MCP is a Node.js-based server for managing personal knowledge, daily notes, and reusable prompts via GitHub Gists. It works with the VS Code extension and the GistPad.dev website, supporting access to and editing of Gists from any MCP-compatible AI product.

The MCP GitHub Reader is a lightweight MCP server that integrates the content of GitHub repositories into the context of large language models, providing repository analysis, file access, intelligent filtering, and search functions.

An MCP server for managing agile development projects through GitHub Projects

An MCP server based on TypeScript for generating commit messages from git staged files, supporting the Gitflow workflow and branch management.

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.