🪟 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

• Windows-MCP reached 2M+ Users in 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 10
• Windows 11

The current package requires Python 3.14+, which supports Windows 10 and newer. Earlier Windows versions are not supported by the current installation.

🎥 Demos

https://github.com/user-attachments/assets/d0e7ed1d-6189-4de6-838a-5ef8e1cad54e

https://github.com/user-attachments/assets/d2b372dc-8d00-4d71-9677-4c64f5987485

✨ 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 0.5 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. Supports Chrome, Edge, and Firefox (Firefox uses an IAccessible2 fallback since it doesn't expose RootWebArea via UIA).

🛠️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 3.14+
• UV (Package Manager) from Astra, install with pip install uv or curl -LsSf https://astral.sh/uv/install.sh | sh
• The App tool resolves localized Start Menu display names as well as internal app names; an English Windows display language is not required.

Run at Login

Run the server directly when needed:

uvx windows-mcp serve
uvx windows-mcp serve --transport sse --host localhost --port 8000
uvx windows-mcp serve --transport streamable-http --host localhost --port 8000

Install it as a background task that starts now and at every login:

windows-mcp install

# Or choose the HTTP transport and bind address explicitly
windows-mcp install --transport sse --host 127.0.0.1 --port 8000

This creates a per-user Scheduled Task named windows-mcp-server and a wrapper script at ~/.windows-mcp/start-server.cmd. Use windows-mcp uninstall to remove it. Logs are written to ~/.windows-mcp/server.log and ~/.windows-mcp/server.error.log.

npm install -g @anthropic-ai/mcpb

npm install -g @google/gemini-cli

{
  "theme": "Default",
  ...
  "mcpServers": {
    "windows-mcp": {
      "command": "uvx",
      "args": [
        "windows-mcp",
        "serve"
      ]
    }
  }
}

npm install -g @qwen-code/qwen-code@latest

{
  "mcpServers": {
    "windows-mcp": {
      "command": "uvx",
      "args": [
        "windows-mcp",
        "serve"
      ]
    }
  }
}

npm install -g @openai/codex