Windows MCP

Windows MCP

CursorTouch

Enables AI assistants to fully control Windows computers through mouse/keyboard input, window management, and desktop automation. Turns your AI into a computer operator that can interact with any Windows application.

MCP server for full computer use on Windows. Control mouse, keyboard, take screenshots, manage windows, and automate desktop applications from AI assistants. 4,500+ GitHub stars.

4,599178 views570Local (stdio)

What it does

  • Control mouse clicks and movements
  • Send keyboard input and keystrokes
  • Take screenshots of desktop or windows
  • Manage and interact with application windows
  • Navigate file system and folders
  • Automate desktop application workflows

Best for

Desktop automation and testingAI-powered computer assistanceQA testing of Windows applicationsAutomating repetitive desktop tasks
4,500+ GitHub stars2M+ Claude Desktop usersWorks on Windows 7-11

About Windows MCP

Windows MCP is a community-built MCP server published by CursorTouch that provides AI assistants with tools and capabilities via the Model Context Protocol. Windows MCP — control mouse & keyboard, capture screenshots, manage windows and automate desktop apps from AI assistants It is categorized under developer tools.

How to install

You can install Windows MCP in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Windows MCP is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

MseeP.ai Security Assessment Badge

🪟 Windows-MCP

License Python Platform: Windows 7 to 11 Last Commit
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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

Supported Operating Systems

  • Windows 7
  • Windows 8, 8.1
  • Windows 10
  • Windows 11

🎥 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 0.9 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 uv or curl -LsSf https://astral.sh/uv/install.sh | sh
  • English as the default language in Windows preferred else disable the App-Tool in the MCP Server for Windows with other languages.
Install in Claude Desktop
  1. Install Claude Desktop and
npm install -g @anthropic-ai/mcpb
  1. Configure the extension:

Option A: Install from PyPI (Recommended)

Use uvx to run the latest version directly from PyPI.

Add this to your claude_desktop_config.json:

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

Option B: Install from Source

  1. Clone the repository:
git clone https://github.com/CursorTouch/Windows-MCP.git
cd Windows-MCP
  1. Add this to your claude_desktop_config.json:
{
  "mcpServers": {
    "windows-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "<path to the windows-mcp directory>",
        "run",
        "windows-mcp"
      ]
    }
  }
}
  1. Open Claude Desktop and enjoy! 🥳

  2. Enjoy 🥳.

Claude Desktop MSIX (Windows Store)

The MSIX-packaged Claude Desktop virtualizes %APPDATA%. Config lives at: %LOCALAPPDATA%\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude\claude_desktop_config.json (not %APPDATA%\Claude\). The "Edit Config" button may open the wrong file.

Electron apps also do not inherit PATH, so uv/uvx can fail with spawn ENOENT. Use the full absolute path to uv.exe:

{
  "mcpServers": {
    "windows-mcp": {
      "command": "C:\\Users\\<user>\\.local\\bin\\uv.exe",
      "args": [
        "--directory",
        "C:\\Users\\<user>\\AppData\\Local\\Packages\\Claude_pzs8sxrjxfjjc\\LocalCache\\Roaming\\Claude\\Claude Extensions\\ant.dir.cursortouch.windows-mcp",
        "run",
        "windows-mcp"
      ]
    }
  }
}

Replace <user> with your username. To find uv.exe, run where uv in a terminal; common location is %USERPROFILE%\.local\bin\uv.exe. For PyPI install, use args: ["run", "windows-mcp"] instead of --directory/path. Save as UTF-8 without BOM (PowerShell Set-Content -Encoding UTF8 adds a BOM that breaks the JSON parser).

For additional Claude Desktop integration troubleshooting, see the MCP documentation.

Install in Perplexity Desktop
  1. Install Perplexity Desktop:

  2. Clone the repository.

git clone https://github.com/CursorTouch/Windows-MCP.git

cd Windows-MCP
  1. Open Perplexity Desktop:

Go to Settings->Connectors->Add Connector->Advanced

  1. Enter the name as Windows-MCP, then paste the following JSON in the text area.

Option A: Install from PyPI (Recommended)

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

Option B: Install from Source

{
  "command": "uv",
  "args": [
    "--directory",
    "<path to the windows-mcp directory>",
    "run",
    "windows-mcp"
  ]
}
  1. Click Save and Enjoy 🥳.

For additional Claude Desktop integration troubleshooting, see the Perplexity MCP Support. The documentation includes helpful tips for checking logs and resolving common issues.

Install in Gemini CLI
  1. Install Gemini CLI:
npm install -g @google/gemini-cli
  1. Configure the server in %USERPROFILE%/.gemini/settings.json:

  2. Navigate to %USERPROFILE%/.gemini in File Explorer and open settings.json.

  3. Add the windows-mcp config in the settings.json and save it.

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

Note: To run from source, replace the command with uv and args with ["--directory", "<path>", "run", "windows-mcp"].

  1. Rerun Gemini CLI in terminal. Enjoy 🥳
Install in Qwen Code 1. Install Qwen Code:
npm install -g @qwen-code/qwen-code@latest
  1. Configure the server in %USERPROFILE%/.qwen/settings.json:

  2. Navigate to %USERPROFILE%/.qwen/settings.json.

  3. Add the windows-mcp config in the settings.json and save it.

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

Note: To run from source, replace the command with uv and args with ["--directory", "<path>", "run", "windows-mcp"].

  1. Rerun Qwen Code in terminal. Enjoy 🥳
Install in Codex CLI 1. Install Codex CLI:
npm install -g @openai/codex
  1. Configure the server in %USERPROFILE%/.codex/config.toml:

  2. Navigate to %USERPROFILE%/.codex/config.toml.

  3. Add the windows-mcp config in the config.toml and save it.

[mcp_servers.windows-mcp]
command="uvx"
args=[
  "windows-mcp"
]

Note: To run from source, replace the command with uv and args with ["--directory", "<path>", "run", "windows-mcp"].

  1. Rerun Codex CLI in terminal. Enjoy 🥳

🖥️ Modes

Windows-MCP supports two operating modes: Local (default) and Remote.

Local Mode (Default)

In local mode, Windows-MCP runs directly on your Windows machine and exposes its tools to the connected MCP client. This is the standard setup for personal use.

# Runs with stdio transport (default)
uvx windows-mcp

# Or with SSE/Streamable HTTP for network access
uvx windows-mcp --transport sse --host localhost --port 8000
uvx windows-mcp --transport streamable-http --host localhost --port 8000

No additional environment variables are needed. The MCP client connects directly to the server.

Remo


README truncated. View full README on GitHub.

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