"How to use GitHub" matching MCP servers:

An MCP server that lets an AI agent use a real terminal the way a person does: type, press keys, click, read the screen, take a screenshot.

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.

Enables AI agents to interact with physical embedded target boards over a dual-CDC USB bridge using MCP tools. It exposes console reading, pattern waiting, command sending, reboot/login state machines, and in-RAM MicroPython execution while a single-owner daemon safely arbitrates access to the serial devices.

Enables ChatGPT web to use local tools like file reading, command execution, and patch application through an MCP server over OpenAI Secure MCP Tunnel.

Enables Claude Code to interact with Linux X11 desktops by performing mouse actions, keyboard input, and capturing screenshots. It provides a suite of tools for automation tasks such as clicking, typing, and zooming on specific screen regions.

A local-first secrets vault for MCP clients that lets AI assistants use secrets by injecting them into child processes, without the plaintext ever entering the model's context.

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

Enables agents to run SweetScape 010 Editor Binary Templates and Scripts headlessly against local files. It provides tools to locate the editor binary, execute templates or scripts, and use controlled exit behavior for compile and runtime failures.

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.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

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.

Enables agents to interact with CLI applications like vim, htop, and gdb by sending key inputs and capturing terminal output through tmux sessions.

Enables AI agents to look up stored logins by URL, name, or alias and use them without seeing the secrets, injecting authentication into HTTP requests, running commands with credentials in the environment and scrubbed output, and fetching 2FA codes, subject to per-credential policies and user approval.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

Headless local stdio MCP server for board-debug operations, allowing compatible clients to use tools for firmware debugging and board management.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

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 low-level computer-use MCP server that exposes raw desktop control (mouse, keyboard, shell, windows, processes, screenshots, etc.) to MCP clients like Claude Code and Codex.

Exposes Laravel development tools (artisan, migrations, config, schema, logs) as MCP tools for use with compatible clients.

An MCP server that enables running CLI for Microsoft 365 commands through GitHub Copilot Agent, allowing users to interact with Microsoft 365 services using natural language.

Enables AI agents to use vault-stored credentials without ever exposing plaintext secrets to model context, transcripts, or telemetry. It decrypts AES-256-GCM envelopes locally via WebCrypto, resolves opaque secret handles into subprocess environments and outbound HTTP requests, issues auto-zeroizing time-bounded leases, and scrubs echoed credentials from output.

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

A command-line tool that enables the use of MCP with the Room protocol, allowing agents to create and interact in peer-to-peer virtual rooms for goal-oriented collaboration.

Enables coding agents to observe and control an authorized Android phone over ADB through MCP tools and a JSON CLI. It supports UI inspection, screenshots, taps, swipes, typing, key presses, app listing, and launching.

A Model Context Protocol (MCP) server that lets you seamlessly use OpenAI's models right from Claude.

Enables an AI to delegate work to secondary Antigravity CLI accounts, running jobs in parallel with dependency (DAG) scheduling, file read/write declarations, warm multi-turn sessions, account quota tracking and compact result collection. Users simply describe their request in natural language while the AI plans and the server executes — no hand-written workflow JSON required.

Local + remote terminal interaction control MCP Server. Lets AI agents control interactive TUI programs the way a human would.

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

sealkeep lets an AI agent use your secrets without seeing them.

Turns your own VPS into an agent's remote computer, exposing shell and code execution, persistent workspace files, Bash PTYs, a Chromium browser, notes, scheduled tasks, and a streamed Linux desktop over MCP. Clients such as Claude Code or Codex can also use an authenticated REST API, CLI, and web console to drive the same shared workspace.

Exposes four stdio tools that let an agent research an application's documented interface, produce a validated single-use plan, and execute read-only operations against public HTTP JSON APIs, static HTML/JSON/text sources, and host-configured CLIs. Runs in-process with no listening port, accounts, or model dependency, returning bounded results while keeping inputs and outputs inside a host-enforced research-plan-execute lifecycle.

Enables ChatGPT to use reviewed local tools backed by an existing Codex environment, including file editing, Git, bounded commands, Chrome/Edge browsing, and Excel workbook control. Ordinary local actions stay model-free, while Codex can be invoked explicitly only when a task truly needs it.

Resolves desktop and brand icons to local file paths for use in Waybar, Rofi, scripts, and AI agents via an MCP stdio server with tools for resolve, prefetch, cache, sources, packs, and overrides.

Enables MCP clients to securely connect to a paired Windows machine through a self-hosted Cloudflare relay and use its local filesystem and command-execution tools over Streamable HTTP and WebSocket.

Enables Claude Code to use locally encrypted, multi-tenant credentials by running commands with injected secrets, writing .env files, materializing files, and making HTTP requests, while scrubbing values from all output so they never enter the chat. Also supports sealed retrieval and saving through native dialogs or an auto-clearing clipboard, role-based credential selection, versioning, rollback, archiving, and a full audit log.

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.

Enables ChatGPT to inspect projects, edit files, run bounded local commands, use Git/CLIs, control Chrome or Edge, and read/write connected Excel workbooks, while explicitly invoking the Codex model only when a task requires it.

Enables control of an attached Android phone over ADB, including screenshots, taps, typing, key/chord input via a virtual HID keyboard, UI inspection, and device information without root.

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 ChatGPT to use a reviewed set of local tools backed by the local Codex environment for project inspection, file edits, commands, browser control, and Excel workbook operations. It also allows explicit Codex model calls only when a task genuinely needs them.