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windows-computer-use-skill

MCP Tool

wimi321/windows-computer-use-skill

Top-level Windows computer-use skill with a bundled standalone runtime and MCP server.

Install

$ npx loaditout add wimi321/windows-computer-use-skill

Platform-specific configuration:

.claude/settings.json
{
  "mcpServers": {
    "windows-computer-use-skill": {
      "command": "npx",
      "args": [
        "-y",
        "windows-computer-use-skill"
      ]
    }
  }
}

Add the config above to .claude/settings.json under the mcpServers key.

About

<div align="center"> <h1>Windows Computer-Use Skill</h1> <p><strong>A top-level Windows skill with a bundled standalone runtime and MCP server.</strong></p> <p> <a href="https://github.com/wimi321/windows-computer-use-skill">GitHub</a> · <a href="./README.zh-CN.md">简体中文</a> · <a href="./README.ja.md">日本語</a> </p> </div>

Positioning

This repository is:

  • a top-level skill
  • a standalone Windows desktop-control runtime
  • a computer-use MCP server for agent ecosystems

It is packaged skill-first, not Claude-first, so the same runtime can be adapted for multiple agent products.

Why This Exists

The requirement is stricter than "wrap an existing install":

  • no dependency on a local Claude app
  • no private .node binaries
  • no extracted hidden assets
  • install the skill, build the server, and use it

This project follows that rule on Windows.

What You Get
  • top-level Windows computer-use skill
  • standalone MCP server for screenshots, mouse, keyboard, app launch, window/display mapping, and clipboard
  • public dependency chain only: Node.js + Python + pyautogui + mss + Pillow + psutil + pywin32
  • first-run runtime bootstrap: the server creates its own virtualenv and installs dependencies automatically
  • bundled skill install that copies the full project into ~/.codex/skills/computer-use-windows/project
  • extracted TypeScript tool layer wired to a Windows-native Python backend
Status

Implemented in this repository:

  • Windows Python helper and runtime bootstrap
  • display enumeration and screenshot pipeline
  • mouse, keyboard, drag, scroll, and clipboard primitives
  • frontmost app, app-under-point, running app, installed app, and window-display lookup paths
  • Windows-first skill packaging and bundled project payload
  • TypeScript build passing

Still recommended before production use:

  • validate on a real Windows host
  • exercise UAC, elev

Tags

ai-agentscomputer-usedesktop-automationmcpmodel-context-protocolskilltypescriptwindows

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Quality Signals

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Installs
Last updated13 days ago
Security: AREADME
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Safety

Risk Levelmedium
Data Access
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Network Accessnone

Details

Sourcegithub-crawl
Last commit3/31/2026
View on GitHub→

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