# Windows-MCP

> Use this tool when you need to automate interactions with the Windows operating system, such as UI automation and application control, without requiring specialized computer vision models. It enables AI agents to perform tasks like file navigation, simulate user input, and manage windows, providing a native interface for seamless integration. Ideal for use cases where direct OS interaction is necessary, such as automated testing, workflow automation, and accessibility applications.

Canonical page: https://skillsregistry.net/skills/13888285815-windows-mcp  
JSON: https://api.skillsregistry.net/v1/skills/13888285815-windows-mcp

## Description

A lightweight server that enables AI agents to interact natively with the Windows operating system for tasks like UI automation and application control. It allows LLMs to perform file navigation, simulate user input, and manage windows without requiring specialized computer vision models.

## Trust

- **Trust score (0–1):** 0.33
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sb0dm8u64a)
- **Repository:** <https://github.com/13888285815/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": "13888285815-windows-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/13888285815-windows-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/13888285815-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
