# Windows MCP Server

> Use this tool when you need to automate tasks on Windows PCs, control UI elements, and execute system-level commands, enabling AI assistants to interact with Windows environments through intelligent detection and management. It solves problems related to automated testing, workflow automation, and remote PC management by providing reliable interaction with Windows UI elements. Ideal for use cases requiring high-performance screen state analysis, mouse/keyboard control, and application management.

Canonical page: https://skillsregistry.net/skills/romeo2badboy-rgb-windows-mcp  
JSON: https://api.skillsregistry.net/v1/skills/romeo2badboy-rgb-windows-mcp

## Description

An enterprise-grade automation server that enables AI assistants to control Windows PCs through intelligent UI element detection, window management, and system-level commands. It leverages the Windows UI Automation tree for reliable interaction, providing tools for mouse/keyboard control, application management, and high-performance screen state analysis.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xzo1cngpia)
- **Repository:** <https://github.com/romeo2badboy-rgb/Windows-mcp>

## 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": "romeo2badboy-rgb-windows-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/romeo2badboy-rgb-windows-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/romeo2badboy-rgb-windows-mcp/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