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

An MCP server that provides AI agents with a full Ubuntu desktop environment inside Docker, enabling them to perform complex computer tasks like browsing, coding, testing, and GUI automation.

MCP server for Windows computer use, providing low-token, low-latency automation through UIA/Win32, OCR, and vision. It enables batch actions, shortcuts, isolated desktop execution, and browser control via MCP tools.

MCP server that enables AI tools to control local browser sessions for ChatGPT, Claude, and other AI services, supporting querying, navigation, file uploads, and artifact management.

Enables AI hosts to drive cross-platform desktop GUI automation and browser control, providing tools to read, click, type, send shortcuts, screenshot, and verify GUI elements and web pages.

Provides a JSON-RPC computer use runtime for macOS, exposing 7 MCP tools (observe/act/inspect/session/cancel/trace) as image content blocks so external agents like Claude Code, Pi, OpenCode, or Codex CLI can capture screenshots and drive the desktop with clicks, keys, and typing while enforcing session locking, stale-frame protection, and trace redaction server-side.

macOS desktop automation enabling AI agents to screenshot, switch apps and tabs, click, type, and scroll. Offers two trust levels: read-only screenshot and full UI control.

Windows desktop automation MCP server — screenshot, mouse, keyboard & UI Automation. Lets LLM agents see and control your Windows desktop directly.

Allows AI clients to see and control Windows 10/11 desktops via MCP, with screenshots, UI Automation, Chrome CDP, keyboard/mouse, and terminal using semantic element targeting.

Enables MCP clients to open and close applications, files, and folders on a Windows machine, manage running apps and File Explorer windows, control Chrome tabs, and perform system actions like shutdown and restart.

MCP server enabling AI agents to control a real Linux browser with live view, human takeover, and safety guardrails.

An MCP server that provides Claude with comprehensive desktop automation capabilities including browser control, window management, and native mouse/keyboard input on Windows. It enables users to capture screenshots, launch applications, and interact with the system clipboard through natural language.

Controls the TradingView Desktop app via MCP, allowing AI agents to manage charts, indicators, Pine Script strategies, and optionally mirrors signals to MetaTrader 5 for automated trading.

Pixel-level browser automation MCP server that drives a real Chrome browser using screenshots as vision input and OS-level mouse/keyboard as output, evading anti-bot detection.

Enables AI agents to operate local desktops and Chromium browsers through MCP tools, unifying accessibility trees, physical input, screenshots, DOM/ARIA, visual grounding, and result verification.

Gives AI assistants full macOS desktop control via screenshots, mouse, keyboard, scrolling, and app management.

MCP server that gives any LLM a managed Docker workspace with live browser, terminal, code execution, document skills, and autonomous sub-agents.

An unofficial bridge that lets Claude Code control local macOS applications through an existing OpenAI Computer Use installation by launching the signed Codex client and translating MCP compatibility.

Standalone MCP server for desktop GUI automation on macOS and Windows, exposing a unified tool for accessibility-tree snapshots, input, app control, and browser CDP fast path, driven by any MCP host.

An MCP server that enables browser control agents to plan and execute UI tasks using Gemini Computer Use.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.