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API key required
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About
[](https://mseep.ai/app/cursortouch-windows-mcp)
🪟 Windows-MCP
Windows-MCP is a lightweight, open-source project that enables seamless integration between AI agents and the Windows operating system. Acting as an MCP server bridges the gap between LLMs and the Windows operating system, allowing agents to perform tasks such as file navigation, application control, UI interaction, QA testing, and more.
mcp-name: io.github.CursorTouch/Windows-MCP
Updates
- Added VM support for Windows-MCP. Check (windowsmcp.io)[https://windowsmcp.io/] for more details.
- Windows-MCP reached
2M+ Usersin Claude Desktop Extensiosn. - Try out 🪟Windows-Use, an agent built using Windows-MCP.
- Windows-MCP is now available on PyPI (thus supports
uvx windows-mcp) - Windows-MCP is added to MCP Registry
Supported Operating Systems
- Windows 7
- Windows 8, 8.1
- Windows 10
- Windows 11
🎥 Demos
✨ Key Features
- Seamless Windows Integration
Interacts natively with Windows UI elements, opens apps, controls windows, simulates user input, and more.
- Use Any LLM (Vision Optional)
Unlike many automation tools, Windows-MCP doesn't rely on any traditional computer vision techniques or specific fine-tuned models; it works with any LLMs, reducing complexity and setup time.
- Rich Toolset for UI Automation
Includes tools for basic keyboard, mouse operation and capturing window/UI state.
- Lightweight & Open-Source
Minimal dependencies and easy setup with full source code available under MIT license.
- Customizable & Extendable
Easily adapt or extend tools to suit your unique automation or AI integration needs.
- Real-Time Interaction
Typical latency between actions (e.g., from one mouse click to the next) ranges from 0.2 to 0.9 secs, and may slightly vary based on the number of active applications and system load, also the inferencing speed of the llm.
- DOM Mode for Browser Automation
Special use_dom=True mode for State-Tool that focuses exclusively on web page content, filtering out browser UI elements for cleaner, more efficient web automation.
🛠️Installation
Note: When you install this MCP server for the first time it may take a minute or two because of installing the dependencies in pyproject.toml. In the first run the server may timeout ignore it and restart it.
Prerequisites
- Python 3.13+
- UV (Package Manager) from Astra, install with
pip install uvorcurl -LsSf https://astral.sh/uv/install.sh | sh Englishas the default language in Windows preferred else disable theApp-Toolin the MCP Server for Windows with other languages.
Install in Claude Desktop
- 1.Install Claude Desktop and
Don't lose this
Three weeks from now, you'll want Windows MCP again. Will you remember where to find it?
Save it to your library and the next time you need Windows MCP, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. MCP Server for Computer Use in Windows. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
What's New
Imported from GitHub
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