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

• 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.

Install in Claude Desktop

1. Install Claude Desktop.

npm install -g @anthropic-ai/mcpb

1. Configure the MCP server.

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", "serve" ] } } }

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", " ", "run", "windows-mcp", "serve" ] } } }

  3. Fully restart Claude Desktop and verify the server appears in the MCP tools list.

Claude Desktop MSIX (Windows Store)

The MSIX-packaged Claude Desktop (Microsoft Store version) virtualizes %APPDATA%. This causes two main issues:

1. The config file is located at: %LOCALAPPDATA%\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude\claude_desktop_config.json (not %APPDATA%\Claude\).
2. Automatic installation from the "Claude Directory" will fail because the ${__dirname} variable resolves to the incorrect (non-virtualized) path.

To configure Windows-MCP on the Windows Store version of Claude:

You must manually edit the configuration file. Note that Electron apps in the MSIX sandbox do not inherit the system PATH, so you must use the full absolute path to uvx.exe (or uv.exe).

Option A: Using pre-installed executable

1. In a terminal, run uv tool install windows-mcp.
2. Use the generated executable in your config:

  {

"mcpServers": { "windows-mcp": { "command": "C:\\Users\\ \\.local\\bin\\windows-mcp.exe", "args": ["serve"] } } }

Option B: Using uvx

  {

"mcpServers": { "windows-mcp": { "command": "C:\\Users\\ \\.local\\bin\\uvx.exe", "args": ["windows-mcp", "serve"] } } }

Option C: Install from Source

  {

"mcpServers": { "windows-mcp": { "command": "C:\\Users\\ \\.local\\bin\\uv.exe", "args": [ "--directory", "C:\\path\\to\\Windows-MCP", "run", "windows-mcp", "serve" ] } } }

Replace with your Windows username. To find the correct paths, run where uvx, where windows-mcp, or where uv. Fully quit Claude Desktop (Tray → Quit) and reopen after saving the config.

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

Install in Perplexity Desktop

1. Install Perplexity Desktop.
2. Open Perplexity Desktop and go to Settings -> Connectors -> Add Connector -> Advanced.
3. Enter the name as Windows-MCP, then paste one of the following configs.

Option A: Install from PyPI (Recommended)

  {

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

Option B: Install from Source

  {

"command": "uv", "args": [ "--directory", " ", "run", "windows-mcp", "serve" ] }

1. Click Save, then restart Perplexity Desktop if needed.

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. Open %USERPROFILE%/.gemini/settings.json.
2. Add the windows-mcp config and save it.

{

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

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

1. Restart Gemini CLI.

Install in Qwen Code

1. Install Qwen Code.

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

1. Open %USERPROFILE%/.qwen/settings.json.
2. Add the windows-mcp config and save it.

{

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

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

1. Restart Qwen Code.

Install in Codex CLI

1. Install Codex CLI.

npm install -g @openai/codex

1. Open %USERPROFILE%/.codex/config.toml.
2. Add the windows-mcp config and save it.

[mcp_servers.windows-mcp]

command="uvx" args=[ "windows-mcp", "serve" ]

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

1. Restart Codex CLI.

Install in Autohand Code

Add the published stdio server from a Windows terminal:

  autohand mcp add windows-mcp uvx windows-mcp serve

Add --scope project after add to keep the server configuration in the current project. See Autohand Code for current installation and CLI details.

Install in Claude Code

1. Install Claude Code:

npm install -g @anthropic-ai/claude-code

1. Configure the server:

Option A: Install from PyPI (Recommended)

Use uvx to run the latest version directly from PyPI.

  claude mcp add --transport stdio windows-mcp -- uvx windows-mcp serve

Option B: Install from Source

1. Clone the reposit