#Github

Repository management, file operations, and GitHub API integration

Audits a GitHub repository's stargazers for signs of fake-star injection across five deterministic axes (burst, suffix-farm, sequential-id cluster, same-second cluster, inter-star gap regularity) over two windows (oldest 100 + newest 30), plus extended signals. Returns LOW / MEDIUM / HIGH with every flag explained. Uses the anonymous GitHub API only — never reads a token, never writes files. Heuristic, not proof: read the evidence. The core (audit.py) is pure Python stdlib; this MCP server is an optional wrapper.

Unified inbox MCP for WhatsApp, Telegram, Email, voice — read/send messages, search conversations, manage contacts, query knowledge graph, and trigger AI agents through natural language.

Power your sales or recruiting AI agent with live B2B data. DataForB2B is a people and company search API with 70+ filters including job title, skills, company size, LinkedIn URL, funding stage, investor, past employers, certifications, years of experience, GitHub repositories, languages and more. Enrich any profile with verified work emails and GitHub profiles. Data sourced live across 60+ public sources. GDPR and CCPA compliant.

MCP server for semantic git queries. Walks the local `git` CLI plus optional GitHub API. Local-first; GH token only needed for PR/issue linkage. ## Why `git` answers these poorly: - "Who last touched this function?" — `git blame` only gives lines - "What PR introduced this line?" — manual blame → SHA → search GH - "Which files always change together?" — no built-in - "Show unmerged branches older than 30 days" — bash gymnastics - "What did I work on last week?" — manual log scrub LLM agents need this context to make safe edits. ## Tools | Tool | Purpose | |------|---------| | `who_touched` | Group blame by author. Lines, commits, last-touched, primary owner. | | `introducing_pr` | Find PR that introduced a line or commit. Merge-msg parse + GH API fallback. | | `co_change` | Files most often changed together with the input file. | | `branch_hygiene` | Branches w/ ahead/behind, last commit, merged status, stale flag. | | `recent_work` | Standup helper: author's commits + files + ins/del in a window. | | `commit_context` | Full commit context: subject, body, files, PR, related issues. | ## Install ```bash npm install -g git-insight-mcp claude mcp add --scope user git-insight -- git-insight-mcp

Browse open bounties, request short-lived authenticated repo access, submit PRs, and check verification status. Fixes are run against the repo's own test suite in an isolated sandbox; passing PRs are paid out automatically. Useful as a tool layer for any coding agent that wants to compete on real-money tasks.

Scout, score, and fuse 36,000+ open-source projects, papers, and ML models into defensible technology stacks. Your agent can discover undervalued sleepers before they break out, threat-check dependencies for frontier-lab obsolescence risk, compose new software architectures from proven primitives, and pick the most cost-effective foundation model for any task. Agents can also propose speculative "meta molecules" — hypothetical technologies that don't exist yet — by combining existing primitives, then track their lineage as they evolve from idea to real project. 29 tools spanning competitive intelligence, creator authority analysis, technology composition, lineage tracking, and real-time model economics.

HubLens automatically detects trending OSS on GitHub and Hacker News daily, then generates EN/ZH summaries, categories, and scoring via Vertex AI (Gemini). This MCP server wraps the HubLens Public REST API so any AI agent can ground its OSS recommendations in fresh, structured, multi-day data.

Control GitHub entirely through Claude — in plain English. 19 tools for repos, PRs, issues, branches, commits, releases, and GitHub Actions. 26x smaller responses than the official GitHub MCP. No Docker required.

基于 Spring AI 的github仓库文件读取Mcp服务，可以根据Github仓库链接，读取仓库下所有文件（前提是public仓库）

Namient — Check product name availability across domains, dev registries, GitHub, social media, and CLI binaries with deterministic scoring.

Official MCP server for Git Leaderboard. Use it from Claude, Cursor, VS Code, Windsurf, and other MCP-compatible clients to query public GitHub leaderboard data directly from your AI assistant.

Real-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, X (Twitter), LinkedIn, Spotify, GitHub, Steam, npm, App Store, news sentiment and web traffic via one MCP connection. Free API key, no credit card required.

Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search for precision, broad search for exploration, full document access as fallback. The agent decides how deep to dig.

MCP server that generates stunning GitHub profile SVGs — animated terminals, neural tech maps, trophy cases, WakaTime charts, Spotify cards, and more. 16 tools, zero external dependencies, pure Python stdlib. Works with Claude Desktop and any MCP client. Includes live-fetch tools that pull real GitHub stats, WakaTime coding activity, and Spotify now-playing data via API.

PinRAG is a retrieval-augmented generation (RAG) MCP server built with LangChain and Chroma. Index PDFs, plain text, Discord exports, YouTube transcripts, and GitHub repositories, then ask questions in Cursor, VS Code (Copilot), or any MCP-capable client. Answers include citations (pages, timestamps, paths). Install via PyPI (`pipx`, `uv tool`, or `uvx --from pinrag pinrag-mcp`). Configure API keys in your editor’s MCP `env` block.

One-line MCP config gives your AI agent persistent memory with automatic workflow rules. Unlike passive memory stores, Awareness teaches your agent WHEN to remember and recall — works across Claude Code, Cursor, Windsurf, Cline, Copilot and 7 more IDEs.

CP Log Analyzer automatically triages your log files using a local AI model. It scans for errors, deduplicates repeated events, analyses root causes using Ollama (deepseek-r1:14b), and files structured GitHub Issues — all running on your own machine with zero data sent to external servers.

Pre-build reality check for AI agents. Scans GitHub, HN, npm, PyPI & Product Hunt — returns a 0-100 signal.

Condition watcher for AI assistants — wait for ports, files, URLs, processes, and more

Code intelligence for LLMs. Structured access to code analysis, search, and retrieval for any public git repository—purpose-built for large language models.

Deploy, manage, and scale full-stack applications directly from your AI assistant. CreateOS MCP gives you 75+ tools covering project creation, GitHub/Docker/file deployments, environment management, databases (PostgreSQL, MySQL, Kafka, Valkey), security scanning, compute management, template marketplace, and billing — all from a single MCP endpoint.

MCP server for AI agent market intelligence: latest market reports, GitHub stars, releases, growth trends, and statistics for AI agent frameworks. 6 tools on Cloudflare Workers with D1 database.

MCP server that gives AI agents structured, ground-truth GitHub intelligence. Analyze any repo's tech stack, dependencies, architecture, health metrics, and security indicators — deterministic JSON output, no hallucinations.

Works with Claude Code, Claude Desktop, Cursor, OpenClaw, and any MCP-compatible client. The @latest tag ensures you always get the most recent version. Why Agents that integrate with external libraries are flying blind. They read docs (if they exist), guess at APIs, and hallucinate patterns that don't match the actual code. The result: broken integrations, wrong function signatures, outdated usage patterns, hours of debugging. When an agent can actually analyze the source code of a library or service it's integrating with, everything changes. It sees the real function signatures, the actual data flow, the patterns the maintainers intended. Integration becomes dramatically easier and less error-prone because the agent is working from ground truth, not guesses. What Agents Can Do With This - Integrate with any library correctly the first time — "How do I set up authentication with this SDK?" gets answered from the actual code, not outdated docs or training data. Your agent sees the real constructors, the real config options, the real error types. - Migrate between versions without the guesswork — Point your agent at both the old and new version of a library. It can diff the actual implementations and generate a migration plan that accounts for every breaking change. - Debug issues across repository boundaries — When a bug spans your code and a dependency, your agent can read both codebases and trace the issue to its root cause — even into libraries you've never opened. - Generate integration code that actually works — Instead of producing plausible-looking code that fails at runtime, your agent writes integration code based on the real API surface: actual method names, actual parameter types, actual return values. - Evaluate libraries before committing — "Should we use library A or B?" Your agent can analyze both implementations, compare their approaches to error handling, test coverage, and architectural quality, and give you a grounded recommendation. - Onboard to unfamiliar codebases in minutes — Point your agent at any repo and ask how things work. It answers from the code itself, with file paths and line numbers, not from memory that may be months out of date.

Connect Claude to your Blacksmith CI data. Query workflow runs, analyze test failures, detect flaky tests, compare test regressions between branches, and monitor usage—all through natural conversation. Features 21 tools including test analytics, cache stats, and log search. Zero-config authentication via Chrome cookies.

A Model Context Protocol (MCP) server that provides secure SSH capabilities for AI assistants, enabling remote command execution, SFTP file transfers, and port forwarding with comprehensive security controls. Features: - 🔐 Secure SSH Command Execution - Execute commands on remote servers with granular security controls - 🛡️ Host Allowlisting - Only connect to pre-configured, trusted servers - 📁 SFTP File Operations - Upload, download, list, and delete files on remote servers - 🌉 SSH Port Forwarding - Create secure tunnels to access remote services - 🔄 Connection Pooling - Persistent connections with automatic management - 🔑 SSH Key Authentication - Secure authentication using SSH private keys - ⚙️ SSH Config Integration - Import servers from your existing SSJ config file - ✅ Command Allowlisting - Restrict which commands can be executed - 📦 Named Services - Pre-configured port forwarding services for common use cases - 🎯 Command Templates - Reusable parameterized commands with variable substitution

The GitHub MCP server provides comprehensive integration with GitHub, allowing you to manage repositories, create and review pull requests, handle issues, and interact with GitHub resources directly from your AI assistant.

Repo Context MCP provides programmatic access to repository contents for integrations and automation. It can list directories/files, read any file, return the README, perform TypeScript type analysis (via ts-morph), and search for OpenAPI/Swagger spec files. Supports local repo paths and reading from private GitHub repos when GITHUB_TOKEN is set in the environment. Ideal for code analysis, docs generation, and CI pipelines.

Provides context optimization tools to extract targeted information rather than processing large files and command outputs in their entirety.

GitHub MCP Server A Model Context Protocol (MCP) server that provides 29 Git operations + 11 workflow combinations for AI assistants and developers. This server exposes comprehensive Git repository management through a standardized interface, enabling AI models and developers to safely manage complex version control workflows. It is also a CLI tool as well.

this is a simple mcp server that helps user perform search in github

A Model Context Protocol server implementation for GitHub integration

增强版GitHub MCP Server，支持智能SSH访问检测和自动访问方式切换

GitHub AI Agent powered by official GitHub MCP Server. Uses LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY Slim, Google A2A, MCP Server)

MCP wrapper for the `gh` command

Nova MCP servers collection - Puppeteer, GitHub, and Basic Memory integrations

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for GitHub (beta): https://www.cdata.com/download/download.aspx?sku=FGZK-V&type=beta

Repositório do projeto AI_ORBE criado via MCP GitHub Server para testes de automação.

🔍 A Model Context Protocol (MCP) server that provides semantic search capabilities for GitHub repository issues using FAISS and OpenAI embeddings. Perfect for developers who want to quickly find relevant issues, bug reports, and discussions across GitHub repositories using natural language queries.

A test repository created using the GitHub MCP server

Token-based GitHub automation management. No Docker for optimal performance, Flexible configuration for fine-grained control, 80+ tools with direct API integration. A comprehensive Model Context Protocol (MCP) server that enables your MCP client (Claude Desktop, Roo Code, Cline, Cursor, Windsurf, etc.) to interact with GitHub repositories using your GitHub personal access token. This tool simplifies managing GitHub repositories using only a GitHub token for setup. By skipping Docker, it avoids unnecessary complexity, delivering fast and effective results through direct API integration. This server is built using Node.js and provides a complete toolkit for repository management, issue tracking, collaboration management, and more, all while leveraging the GitHub API for optimal performance.

A repository for 2560_mcp. Includes instructions in README for enabling GitHub MCP server in VS Code.

A GitHub MCP server demo with create repository functionality

MCP (Model Context Protocol) client for GitHub Multi-User Server with Claude integration. Interactive chat interface for GitHub operations using natural language.

A Model Context Protocol server implementation for GitHub

MCP server for working with GitHub repository via API.

Go-based MCP server that connects GitHub to Claude Desktop, enabling direct repository operations from Claude's interface.

starReport 是一个用于自动生成和管理指定 GitHub 仓库 star、commit、issue 等活跃度报告的 Node.js 工具，支持 MCP 协议服务，集成大模型智能分析，并可自动推送到飞书群。

Local Docker setup for GitHub MCP Server with docker-compose

A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management. Enables LLMs to fetch PR details, analyse diffs, manage issues, and handle releases through a standardised interface

Test repository for multi-user GitHub MCP server

A basic MCP server for tool exposure using FastMCP and VS code extension distribution

Connect MCP Github server

This repository was created to demonstrate the capabilities of the GitHub MCP server.

Spring AI integration with GitHub MCP server and LLM model - Proof of Concept

Create AI code reviewer that can be used on github and locally through an MCP server

MCP server poc python

Research project by

what is GitHub MCP Server? GitHub MCP Server is a tool for managing GitHub repositories, enabling file operations, search functionality, and integration with the GitHub API for seamless collaborative software development.

A MCP tool that automates code review and leaves comments directly on GitHub PRs, with support for Notion integration for custom review guidelines.

SpaceBridge-MCP is a Model Context Protocol (MCP) server designed to integrate AI development tools (like Claude code, Windsurf, Cursor) with the SpaceBridge issue aggregation platform. It allows developers to interact with their issue trackers directly from their coding environment via their AI assistant.

A GitHub API integration server using the MCP (Message Control Protocol) framework

GitHub MCP SSE Server

github mcp server built on go-zero mcp capabilities

GitHub MCP Server implementation and testing repository

Experimental MCP Server created via Github-MCP integration.

GitHub MCP server test repository

An MCP server implementation for GitHub

A Model Control Protocol (MCP) server for exploring the GitHub GraphQL schema and executing optimized queries. Provides AI assistants with efficient GitHub data retrieval capabilities through GraphQL.

A Simple custom-built MCP server that provides GitHub integration features through various tools and resources.

Example MCP server with OAuth based on

Code to integrate n8n with github mcp server

his is a Node.js command-line application that integrates with GitHub via the Model Context Protocol (MCP) server and OpenAI's API.

mcp-server-cloudflare integrates Minecraft server hosting with Cloudflare's security and performance features. This setup enhances player experience by reducing latency and protecting against attacks.

Repository for MCP server

A Model Context Protocol (MCP) server that provides tools for managing GitHub Projects V2. This server uses the GitHub GraphQL API for interacting with GitHub Projects V2 for project board management and tracking tickets/issues.

connects github repos to ai for better code understanding

MCP Server to search individual private Github Repositories

GitHub Action for the mcp-discovery CLI

A test repository created using GitHub MCP server

A repository demonstrating GitHub MCP server configuration in VS Code

Cursor + GitHub MCP Server 自动管理代码库

Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces.

A test repository created using the GitHub MCP server

GitHub MCP server for testing

MCP Server for GitHub

Repository created using GitHub MCP tools

Model Context Protocol server for Github Repo // Reading Github Repo

MCP Server for Salesforce Operations

A GitHub Actions integration powered by the MCP. This server exposes structured tools to manage GitHub issues, pull requests, and repositories through natural language interfaces and autonomous agents.

A GitHub Actions integration powered by the MCP. This server exposes structured tools to manage GitHub issues, pull requests, and repositories through natural language interfaces and autonomous agents.

Test repository created via GitHub MCP server

A repository for testing MCP server implementations and related projects.

Seamlessly integrating APIs, advanced AI, and intelligent automation with Github & X, this state-of-the-art MCP framework revolutionizes server & client-side functionality. 🚀 With features like AI-powered Intelligent Notifications, it predicts critical updates and delivers custom alerts via email, ensuring smarter workflows.

This repository has moved to Positive-Spaces/js-mcp-server

Model Context Protocol (MCP) server that provides GitHub API tools for user information, security issue creation, and repository security scanning. Built with TypeScript and the MCP SDK

Automatically generate an MCP Server from existing source code, service classes, helper methods, and external MCP tools. The MCP Mediator aggregates various sources and tools into a unified system, enabling seamless automatic generation of a complete MCP Server.