# GitHub Integration

This project provides the configuration and setup of the Model Context Protocol (MCP) server, including GitHub and Puppeteer integration, for GitHub API interaction and web browser automation.

The JSON Resume MCP Server is an AI-driven tool that automatically updates JSON resumes by analyzing users' code projects. It supports GitHub integration and OpenAI to generate professional descriptions.

An MCP server for GitHub Actions integration, providing functions such as getting the list of Actions, triggering workflows, and getting release information. It supports configuring the GitHub token in multiple ways.

A service implementing the Model Context Protocol (MCP), providing tools for retrieving and analyzing the entire codebase, and supporting AI agents such as Cursor's Composer Agent to automatically read and understand the entire codebase.

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.

The Cross-System Agent Communication MCP server is used to manage the collaboration, task allocation, and knowledge sharing of multi-role AI agents, integrating GitHub and database functions.

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.

A GitHub Model Context Protocol (MCP) server implemented in Go, supporting interaction functions such as repository management, branch operations, and file processing through the GitHub API.

This extension integrates GitHub MCP Server into the Assistant function of the Zed editor as a context server. A GitHub personal access token needs to be configured.

This is a GitHub MCP Server project that supports interaction with LLM models such as Claude via the Model Context Protocol to implement the call and management functions of the GitHub API.

The GitHub Code Review MCP service is a code review tool based on Claude AI, providing automated code review, security vulnerability scanning, performance analysis, etc. for GitHub repositories, and supporting integration with the MCP protocol.

The GitHub MCP Server provides the function of extracting differences from Pull Requests

The GitHub MCP Server is an integration service that provides a standardized interface, enabling LLM applications to interact with the GitHub API through the Model Context Protocol. It supports functions such as repository management, file operations, and PR processing.

The GitHub MCP Server is a service based on the Model Context Protocol that provides seamless integration with the GitHub API, supporting developers in building automated workflows and AI tools.

The MCP tool is a tool for managing model context in GitHub repositories, supporting version tracking, dataset management, performance recording, and documentation of training configurations.

GitHub MCP Server is a protocol server that implements GitHub CLI functions, supporting GitHub operations such as repositories, issues, and pull requests, and providing an efficient and secure integration solution.

A GitHub Model Context Protocol (MCP) server implemented in Go, providing a standard interface for LLMs to interact with GitHub repositories, issues, pull requests, etc., supporting rich GitHub API access and security control.

This is an MCP server developed for the Cursor cloud agent API, which allows AI assistants to create and manage cloud agent tasks on GitHub repositories, providing functions such as task creation, status monitoring, and viewing conversation history.

A Docker image project named Goose, integrated with the MCP server, supporting connection to LLM models through Ollama and adding GitHub MCP services via command - line extensions.

MCPHubs is a website built on Next.js to showcase open - source projects related to Anthropic's Model Context Protocol (MCP). It obtains project information through the GitHub API and uses Google Gemini Pro model for AI analysis to evaluate the relevance of projects to MCP, providing project list, detail display, and README rendering functions.

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.

A GitHub project management server implementing the Model Context Protocol, providing programmatic management capabilities for GitHub projects to LLM clients through standardized tools.

The GitHub MCP Server is a server based on the Model Context Protocol that provides seamless integration with the GitHub API, supporting developers to build automated workflows, data analysis, and AI tools.

A minimal MCP server project demonstrating how to implement GitHub OAuth authentication, including guides on GitHub App registration and testing.

An MCP server that provides project management and GitHub integration, supporting local project management, change tracking, GitHub repository synchronization, and other functions.

The GitHub MCP Server is a middleware service based on the GitHub API, providing comprehensive GitHub operation interfaces such as file operations, repository management, and search functions. It supports automatic branch creation, batch operations, advanced search, etc., and maintains a complete Git history.

An MCP server that allows LLMs to use GitHub issues as a task source

This project demonstrates how to integrate and use the GitHub API through the MCP server functions, including repository management, issue tracking, pull request handling, etc.

This project aims to regularly synchronize MCP server data from the official Cline Marketplace, provide an offline service market function, and include a service information storage and synchronization mechanism.

Test Gru is an automated unit testing tool that supports Node.js/TypeScript projects. It automatically adds and runs unit tests for code through GitHub integration, simplifying the testing process.