# Windows-MCP

> Use this tool when you need to automate interactions with Windows operating systems, perform UI automation, or execute system operations. It solves problems such as automating repetitive tasks, interacting with applications, and executing PowerShell commands, taking inputs like commands and scripts, and producing outputs like executed actions and system responses. Ideal for use cases where native Windows integration is required, enabling seamless interaction with the operating system.

Canonical page: https://skillsregistry.net/skills/zhouke2020-cursortouch-windows-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zhouke2020-cursortouch-windows-mcp

## Description

Enables AI agents to interact with Windows operating systems by providing tools for UI automation, file navigation, application control, and system operations. Works with any LLM to perform tasks like clicking, typing, launching applications, and executing PowerShell commands through native Windows integration.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mmsi7iwz18)
- **Repository:** <https://github.com/zhouke2020/CursorTouch-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": "zhouke2020-cursortouch-windows-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhouke2020-cursortouch-windows-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhouke2020-cursortouch-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