"github" matching MCP servers:

Provides 29 Git operations and 11 workflow combinations for AI assistants and developers, enabling comprehensive Git repository management through a standardized interface.

Enables querying today's GitHub commits, performing local git operations (status, diff, add, commit, push), and creating GitHub issues through natural language.

Wraps GitHub Copilot CLI as an MCP server, enabling MCP clients to run Copilot conversations for code tasks with support for session resumption and permission modes.

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.

An MCP server for FPGA toolchain operations including linting, simulation, synthesis, place-and-route, bitstream programming, and IP core registry via GitHub.

Enables AI coding assistants to access hosts (e.g., GitHub) behind a local proxy by automatically launching the proxy client and configuring tools to route through it.

Provides intelligent command completion, validation, and contextual help for the Kafka Docker Playground CLI. Integrates with GitHub Copilot to offer auto-complete suggestions, detailed command assistance, and debugging support for playground operations.

A Model Context Protocol (MCP) SSH client server that provides autonomous SSH operations for GitHub Copilot and VS Code. Enable natural language SSH automation without manual prompts or GUI interactions.

A lightweight MCP server that acts as a secure proxy for AI assistants to run local Git operations and GitHub API macros simultaneously.

Connects MCP-enabled editors to GitHub Copilot CLI for non-interactive code analysis, batch processing, and code review.

Enables ChatGPT to securely control remote development servers over OAuth-protected MCP, exposing workspace-bounded tools for file editing, command execution, Git operations, and running Codex or GitHub Copilot subagents.

A Python CLI package aaws published to GitHub with PyPI distribution via GitHub Actions. Natural language in → AWS CLI command out, with explain, confirm, and safety layers. Available as MCP server.

MCP server enabling stacked Git branch workflows and GitHub PR submission through commands like run_stackline_cmd and learn_stackline.

Enables AI agents to invoke common developer tools — git, GitHub, npm, Python, cargo, Docker, Kubernetes, linters, and test runners — and receive schema-validated structured JSON instead of raw terminal text. This removes brittle string parsing and cuts token usage dramatically on verbose commands like builds, installs, and test runs.

Enables AI assistants to manage Docker containers, images, networks, volumes, and Compose services through the Model Context Protocol. It supports system operations, command execution within containers, and integration with Docker Hub and GitHub Container Registry.

Give your AI assistant superpowers for .NET development! This MCP server connects GitHub Copilot, Claude, and other AI assistants directly to the .NET SDK, enabling them to create projects, manage packages, run builds, and more—all through natural language.

Enables Claude Code to delegate tasks to persistent GitHub Copilot CLI sessions via MCP, inspect pending tool requests, and approve each operation once or deny it while continuing multi-turn context. It bridges ACP runtime sessions locally over stdio without a public service or background daemon.

Enables AI agents to fetch pinned GitHub sources, prepare per-job project environments, run declared commands, and verify results through file, JSON, and stdout checks while returning only compact status plus local evidence paths. Supports long-running Windows CLI and repository tasks with resumable jobs, background execution, and measured token and time savings.

Enables AI assistants to encrypt and decrypt files or text using the SAFE utility with support for passwords, public keys, and GitHub usernames. It provides tools for key generation, identity listing, and inspecting encrypted file metadata.

Enables AI clients to operate on a remote Linux server over MCP, allowing shell command execution, file editing, package installation, project builds, and service management.