"GitHub MCP server" matching MCP servers:

A Model Context Protocol server that provides tools for interacting with both Radicle (peer-to-peer code collaboration) and GitHub through a unified interface, enabling repository management, synchronization, and collaboration features across both platforms.

A read-only remote MCP gateway that lets MCP-capable agents discover GitHub REST endpoints and run many read-only GitHub reads (files, issues, comments, pull requests, checks) inside a single sandboxed JavaScript execution, returning only the compact result needed. This cuts model/tool round trips and context use, with enforced read-only access, repository allowlisting, and GitHub App authentication.

Provides a set of read-only Kubernetes functions via an MCP server, enabling interaction with Kubernetes clusters through agents or coding assistants like GitHub Copilot.

Enables local AI agents to manage GitHub Codespaces workspaces and execute remote tasks by checking out exact commits, running builds, tests, scripts or temporary services, downloading logs and artifacts, and stopping or exporting managed environments.

MCP server connecting Claude Code with E2B cloud sandboxes for working on any GitHub repo.

Clones and inspects public GitHub repositories to extract evidence like manifests, dependencies, and version hints, and can run allow-listed repos in isolated Docker containers for reproducible verification.

Create sandboxed local development environments directly from Github and execute tests, see coverage and more! Supports Python, Node, Bun and many test runners.

Anthropic's github MCP server, but better. Support for more endpoints. Including releases and tags, pull request reviews, statuses, rate limit, gists, projects, packages, and even pull request diffs. Indented to be used with MissionSquad's MCP API for secret management (aka your access token).

A Model Context Protocol server that enables AI agents to retrieve and understand entire codebases at once, providing tools to analyze local workspaces or remote GitHub repositories.

The Git MCP Server allows AI assistants to perform enhanced Git operations via the Model Context Protocol, supporting core Git functions, branch and tag management, GitHub integration, and more.

Enables AI models to access GitHub repository contents as context, with features to fetch entire repositories, specific file contents, and repository structures for use in AI interactions.

Fetches up-to-date documentation for any npm package directly in your IDE by retrieving README files from GitHub repositories or package tarballs. Provides real-time access to current package documentation and API information.

Provides pre-defined prompt templates for AI assistants to generate comprehensive plans for TypeScript projects, API architectures, and GitHub workflows.

A proof-of-concept tool that integrates AI into security operations, allowing users to perform offensive security tasks like network scanning and reconnaissance through natural language commands to GitHub Copilot.

The Fabric-Analytics-MCP server enables AI agents to interact directly with Microsoft Fabric using natural language. It transforms complex data engineering tasks—such as workspace management, data exploration, and job execution—into intuitive, conversational workflows for LLMs like Claude or GitHub

Wraps the GitHub Copilot CLI to provide natural language command suggestions, explanations, and shell configuration for shell, git, and GitHub CLI commands through the Model Context Protocol.

Enables Claude to manage GitHub Gists as an intelligent code library, allowing users to save, retrieve, update, and organize code snippets from anywhere with natural language commands.

A unified MCP server providing tools for web search, GitHub analysis, document parsing, browser automation, secure code execution, and forum parsing, enabling LLMs to perform a wide range of external tasks through a single backend.

A starter template for creating MCP servers that work with Puch AI, featuring ready-to-use tools for job searching and image processing. Includes examples for Bearer token authentication, OAuth integration with Google and GitHub, and demonstrates user-scoped data management.

Automatically installs and containerizes MCP servers from GitHub repositories using MCP sampling to analyze repositories and create appropriate Docker images.

Enables agents to search and compose typed operators into validated, runnable pipelines, propose missing operators or types as drafts, and crystallize proven drafts into stable operators through a human-reviewed GitHub pull request.

A Model Context Protocol server that enhances Grey Hack game development by providing GitHub code search, GreyScript validation, script generation, and Greybel-JS transpilation capabilities when used with Cursor IDE.

Give your AI app any GitHub link and the job you want done. UGT gets the project running on your computer and hands you the result.

Provides a Model Context Protocol interface to the Gemini CLI, enabling AI agents to call the Gemini model and interact with development tools like code linting, GitHub operations, and documentation generation. Includes security measures to prevent unauthorized file access through path validation.

A GitHub-based implementation of the Model Context Protocol that enables LLMs to access and manipulate data in a Universal Object Reference (UOR) framework, providing standardized interfaces for object management with decentralized storage.

A collection of custom MCP servers providing various AI-powered capabilities including web search, YouTube video analysis, GitHub repository analysis, reasoning, code generation/execution, and web crawling.

Enables AI assistants to automatically analyze GitHub repositories and set up development environments by detecting tech stacks, installing dependencies, and verifying project builds. Provides safe tools for repository cloning, file system operations, package installation, and build verification through an allowlisted command system.

A server implementation demonstrating how AI models can interact with external tools and services through Model Context Protocol, featuring integrations for calculator functions, GitHub repositories, and Google Maps searches.

Gitbub mcp

A unified AI and automation command center that allows users to interact with multiple AI providers (OpenAI, Anthropic, Gemini) and services (GitHub, Google) through natural language commands and multi-step workflows.

A modular MCP server that extends GitHub Copilot's capabilities through intelligent context compression and dynamic model routing for long-lived coding sessions.

A Multi-Agent Conversation Protocol Server for the GitHub API, auto-generated using AG2's MCP builder, allowing users to interact with GitHub services through natural language.

A Model Context Protocol server that enables AI models to access tools through GitHub authentication and provides comprehensive analytics tracking of tool usage, performance, and user behavior.

A server that likely facilitates integration between GitHub Copilot and Visual Studio Code, though the README lacks specific details about its functionality.

Provides AI agents with production-ready integrations for GitHub repository management, sandboxed code execution, SFTP file operations, web search and scraping, YouTube, Google Workspace, Notion, and more.

Remote MCP server executor on Cloudflare Workers that runs Python-based tools from GitHub repos via a lightweight TypeScript interpreter, supporting requests and common builtins.

A local CLI & API for MCP management that allows users to download, install, manage, and interact with MCPs from GitHub, featuring process state management, port allocation, and HTTP API routes.

Enables MCP-compatible AI assistants to run Python code on Google Colab GPU/TPU runtimes, supporting accelerators like T4, A100, H100, with background execution and Google Drive integration.

Lets your AI find the open-source tool it needs on GitHub and install it as an MCP tool, in a sandbox, after you approve. Reads only the folders you grant; no network unless allowed.

A tool that enables AI assistants to conversationally scaffold, build, and publish Python MCP servers to PyPI. It automates the entire development lifecycle, including package naming, tool scaffolding, GitHub repository setup, and package publishing.