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# PyMCPAutoGUI 🖱️⌨️🖼️ - GUI Automation via MCP
[](https://opensource.org/licenses/MIT)
**Supercharge your AI Agent's capabilities!** ✨ PyMCPAutoGUI provides a bridge between your AI agents (like those in Cursor or other MCP-compatible environments) and your computer's graphical user interface (GUI). It allows your agent to see the screen 👁️, control the mouse 🖱️ and keyboard ⌨️, and interact with windows 🪟, just like a human user!
Stop tedious manual GUI tasks and let your AI do the heavy lifting 💪. Perfect for automating repetitive actions, testing GUIs, or building powerful AI assistants 🤖.
## 🤔 Why Choose PyMCPAutoGUI?
* **🤖 Empower Your Agents:** Give your AI agents the power to interact directly with desktop applications.
* **✅ Simple Integration:** Works seamlessly with MCP-compatible clients like the Cursor editor. It's plug and play!
* **🚀 Easy to Use:** Get started with a simple server command. Seriously, it's *that* easy.
* **🖱️⌨️ Comprehensive Control:** Offers a wide range of GUI automation functions from the battle-tested [PyAutoGUI](https://pyautogui.readthedocs.io/en/latest/) and [PyGetWindow](https://pygetwindow.readthedocs.io/en/latest/).
* **🖼️ Screen Perception:** Includes tools for taking screenshots and locating images on the screen – let your agent *see*!
* **🪟 Window Management:** Control window position, size, state (minimize, maximize), and more. Tidy up that desktop!
* **💬 User Interaction:** Display alert, confirmation, and prompt boxes to communicate with the user.
## 🛠️ Supported Environments
* **Operating Systems:** Windows, macOS, Linux (Requires appropriate dependencies for `pyautogui` on each OS)
* **Python:** 3.11+ 🐍
* **MCP Clients:** Cursor Editor, any client supporting the [Model Context Protocol (MCP)](https://microsoft.github.io/language-server-protocol/specifications/mcp/)
## 🚀 Getting Started - It's Super Easy!
### 1. Installation (Recommended: Use a Virtual Environment!)
Using a virtual environment keeps your project dependencies tidy.
```bash
# Create and activate a virtual environment (example using venv)
python -m venv .venv
# Windows PowerShell
.venv\Scripts\Activate.ps1
# macOS / Linux bash
source .venv/bin/activate
# Install using pip (from PyPI or local source)
# Make sure your virtual environment is active!
pip install pymcpautogui # Or pip install . if installing from local source
```
*(Note: `pyautogui` might have system dependencies like `scrot` on Linux for screenshots. Please check the `pyautogui` documentation for OS-specific installation requirements.)*
### 2. Running the MCP Server
Once installed, simply run the server from your terminal:
```bash
# Make sure your virtual environment is activated!
python -m pymcpautogui.server
```
The server will start and listen for connections (defaulting to port 6789). Look for this output:
```
INFO: Started server process [XXXXX]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://127.0.0.1:6789 (Press CTRL+C to quit)
```
Keep this terminal running while you need the GUI automation magic! ✨
## ✨ Seamless Integration with Cursor Editor
Connect PyMCPAutoGUI to Cursor (@ symbol) for GUI automation directly within your coding workflow.
1. **Open MCP Configuration:** In Cursor, use the Command Palette (`Ctrl+Shift+P` or `Cmd+Shift+P`) and find "MCP: Open mcp.json configuration file".
2. **Add PyMCPAutoGUI Config:** Add or merge this configuration into your `mcp.json`. Adjust paths if needed (especially if Cursor isn't running from the project root).
```json
{
"mcpServers": {
// ... other MCP server configs if any ...
"PyMCPAutoGUI": {
// Sets the working directory. ${workspaceFolder} is usually correct.
"cwd": "${workspaceFolder}",
// Command to run Python. 'python' works if the venv is active in the terminal
// where Cursor was launched, or specify the full path.
"command": "python", // Or ".venv/Scripts/python.exe" (Win) or ".venv/bin/python" (Mac/Linux)
// Arguments to start the server module.
"args": ["-m", "pymcpautogui.server"]
}
// ... other MCP server configs if any ...
}
}
```
*(Tip: If `mcp.json` already exists, just add the `"PyMCPAutoGUI": { ... }` part inside the `mcpServers` object.)*
3. **Save `mcp.json`**. Cursor will detect the server.
4. **Automate!** Use `@PyMCPAutoGUI` in Cursor chats:
*Example:*
`@PyMCPAutoGUI move_to(x=100, y=200)`
`@PyMCPAutoGUI write(text='Automating with AI! 🎉', interval=0.1)`
`@PyMCPAutoGUI screenshot(filename='current_screen.png')`
`@PyMCPAutoGUI activate_window(title='Notepad')`
## 🧰 Available Tools
PyMCPAutoGUI exposes most functions from `pyautogui` and `pygetwindow`. Examples include:
* **Mouse 🖱️:** `move_to`, `click`, `move_rel`, `drag_to`, `drag_rel`, `scroll`, `mouse_down`, `mouse_up`, `get_position`
* **Keyboard ⌨️:** `write`, `press`, `key_down`, `key_up`, `hotkey`
* **Screenshots 🖼️:** `screenshot`, `locate_on_screen`, `locate_center_on_screen`
* **Windows 🪟:** `get_all_titles`, `get_windows_with_title`, `get_active_window`, `activate_window`, `minimize_window`, `maximize_window`, `restore_window`, `move_window`, `resize_window`, `close_window`
* **Dialogs 💬:** `alert`, `confirm`, `prompt`, `password`
* **Config ⚙️:** `set_pause`, `set_failsafe`
For the full list and details, check the `pymcpautogui/server.py` file or use `@PyMCPAutoGUI list_tools` in your MCP client.
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. Happy Automating! 😄
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