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Windows MCP

by CursorTouchversion 1.0.1i★ –iRuns on your computer
Registry nameio.github.CursorTouch/Windows-MCP

Install

Overview

Description from the maker (original English)

An MCP Server for computer-use in Windows OS

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add windows -- uvx windows-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CursorTouch, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32655 servers in this category
  • Published to the registry more recently than 10% of the other 32655 servers in this category
  • Basic checks equal to or better than 100% of the other 32655 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Windows MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SuperCollider

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

Make sound with SuperCollider: synths, drums, chords, melodies and soundscapes over OSC.

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

🪟 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

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

Only the beginning is shown; read the rest in the repo

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