# Windows Remote Control

> Use this tool when you need to automate Windows systems remotely, such as for automated testing, remote administration, or building AI-assisted control systems. It provides a TypeScript interface for controlling mouse movements, keyboard input, and screen captures, and accepts inputs via the Model Context Protocol. Outputs include programmatically controlled Windows interactions, screen captures, and clipboard access.

Canonical page: https://skillsregistry.net/skills/cheffromspace-windows-remote-control  
JSON: https://api.skillsregistry.net/v1/skills/cheffromspace-windows-remote-control

## Description

This Windows control server leverages nut.js and the Model Context Protocol to enable remote automation of Windows systems. Developed by an unnamed author, it provides a TypeScript-based interface for programmatically controlling mouse movements, keyboard input, and screen captures on Windows machines. The implementation uses Express for the server, Jimp and Sharp for image processing, and Clipboardy for clipboard access. It's designed for scenarios requiring remote Windows automation, such as automated testing, remote administration, or building AI-assisted Windows control systems that can interact with desktop applications via natural language commands.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cheffromspace-windows-remote-control)
- **Repository:** <https://github.com/claude-did-this/mcpcontrol>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cheffromspace-windows-remote-control"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cheffromspace-windows-remote-control` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cheffromspace-windows-remote-control/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt