"How to run desktop commands on a computer" matching MCP servers:

An MCP server that lets you define and run custom shell commands via YAML templates, with built-in tools for flashing and serial communication in embedded development.

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

An MCP server to run commands.

MCP server for executing shell commands with automatic RTK token reduction, persistent caching, and execution logging.

Enables ChatGPT to read and edit local text files, apply precise string replacements, and run Bash commands on a user's own macOS or Linux machine through a secure local tunnel without exposing public ports.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables AI agents to search, update, manage files, and run terminal commands on a computer, with remote access via Streamable HTTP and OAuth 2.0 for integration with ChatGPT and web agents.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.

Gives AI agents controlled access to a computer for browsing, editing, searching, and organizing files; creating and extracting zips; running terminal commands; managing background processes; and transferring files. Supports automatic public tunnel access plus options to restrict folders, use read-only mode, disable the terminal, and expire download/upload links.

Provides tools for executing shell commands both synchronously and asynchronously with real-time output streaming and process management capabilities. It enables users to start background tasks, monitor progress, and manage long-running processes via Stdio or HTTP transports.

Gives ChatGPT hands-on control of a local machine: reading, patching and executing code in approved project folders, running real interactive processes, managing plans and worker sub-chats, and driving the browser or desktop through user-granted permissions. Every capability is a switch inside an approved-folder sandbox, so nothing runs that the user did not explicitly enable.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables MCP clients on macOS to perform bounded read-only filesystem operations and a narrow allowlist of process diagnostics over STDIO or authenticated loopback Streamable HTTP. It excludes file writes, arbitrary shell access, GUI/browser automation, and remote relay.

Provides a persistent Docker computer with terminal, file editing, and optional desktop GUI control through a Three.js interface.

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.

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 AI agents to remotely search, update, manage files, and run terminal commands on a desktop environment via Streamable HTTP with OAuth 2.0, supporting ChatGPT and web agent integrations.

Enables Claude to fully control a Windows desktop with native screen capture, low-level input injection, game-grade input, and play-testing capabilities.

Enables terminal and filesystem capabilities through local stdio or remote device modes, backed by a contract and validation layer.

Enables DeepSeek Harness to operate files on another computer over MCP, including browsing, reading, writing, editing, searching, moving, and recoverable deletion, with optional command execution. It supports Windows and macOS via LAN or Tailscale with directory authorization and logs.

MCP server for controlling Deepin desktop system settings and applications, including WiFi, Bluetooth, brightness, theme, volume, app launching, file operations, and shutdown.

A production-grade macOS MCP server exposing 33 tools for full desktop automation, including mouse, keyboard, screenshot, clipboard, and window control.

Connects AI assistants to a development machine through a persistent Desktop Commander stdio process and the official OpenAI tunnel-client, exposing file, terminal, search, and document tools.

Enables ChatGPT's web interface to operate a real Mac by executing shell commands and reading or writing files over a reverse SSH tunnel, without installing a client or consuming API quota.

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.

Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.

Enables interaction with Google Cloud Platform services through gcloud CLI commands via a Cloud Run deployed MCP server. Supports executing gcloud commands and managing GCP resources through natural language.

Enables AI assistants to search, update, and manage files, run terminal commands, and automate workflows on a user's computer.

Enables natural voice interaction with Claude Code through speech-to-text, supporting wake word activation and multiple backends like Whisper and Google. It allows users to execute commands and control their coding environment hands-free via their microphone.