# Windows System Control

> Use this tool when you need to automate Windows tasks, control media applications, or provide system-level functionality to AI assistants. It offers a range of inputs, including API requests, and outputs, such as system theme changes, toast notifications, and screenshot captures. This tool is ideal for use cases requiring interaction with the Windows operating system, including media playback control, window management, and clipboard access.

Canonical page: https://skillsregistry.net/skills/secretiveshell-windows-system-control  
JSON: https://api.skillsregistry.net/v1/skills/secretiveshell-windows-system-control

## Description

MCP-Windows provides a Windows API server that enables AI assistants to control various Windows system functions. Developed by TerminalMan, it offers tools for media playback control, sending toast notifications, managing windows, capturing screenshots, controlling monitors, changing system themes, accessing the clipboard, and opening files or URLs. The implementation uses Python with the FastMCP framework and leverages Windows-specific libraries like pywin32 and WinRT to interact with the operating system. This server is particularly valuable for automating Windows tasks, controlling media applications, and providing system-level functionality to AI assistants without requiring direct access to the Windows API.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **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/secretiveshell-windows-system-control)
- **Repository:** <https://github.com/secretiveshell/mcp-windows>

## 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": "secretiveshell-windows-system-control"
    }
  }
}
```

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