computer-use-mcp

Overview

computer-use-mcp is a Model Context Protocol server that enables Claude models to control your computer similarly to Anthropic's official computer use feature. It provides a simplified setup process for local use, allowing AI models to interact with your desktop environment. The server implements near-identical functionality to Anthropic's computer use guide with additional optimizations to prefer keyboard shortcuts. It uses nut.js to communicate with the computer and includes support for various clients like Claude Code, Claude Desktop, Cursor, and Cline.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• computer_use

  Control your computer through visual interface interactions

  Try:Change my desktop backgroundTry:Open a new browser windowTry:Take a screenshot of my screen

Note: The tool name is inferred from the server name and description, though no explicit tool documentation is provided in the README. The server appears to implement computer control functionality similar to Anthropic's computer use API.

Comparable tools

Installation

{
  "mcpServers": {
    "computer-use": {
      "command": "npx",
      "args": [
        "-y",
        "computer-use-mcp"
      ]
    }
  }
}

claude mcp add --scope user --transport stdio computer-use -- npx -y computer-use-mcp

{
  "mcpServers": {
    "computer-use": {
      "command": "npx",
      "args": ["-y", "computer-use-mcp"]
    }
  }
}

{
  "mcpServers": {
    "computer-use": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "computer-use-mcp"]
    }
  }
}

FAQ

Is this safe to use?

The README includes a warning that models make frequent mistakes and are vulnerable to prompt injections. It's recommended to use this in a sandboxed user account and supervise closely, as giving a model complete computer control could cause significant damage.

What models work best with this MCP server?

The documentation recommends using models good at computer use, particularly the latest Claude models, for best results.

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