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PyMCPAutoGUI

MCP.Pizza Chef: kitfactory

PyMCPAutoGUI is an MCP server that bridges AI agents with desktop graphical user interfaces, enabling them to see the screen, control mouse and keyboard, and interact with windows. It automates repetitive GUI tasks, facilitates GUI testing, and empowers AI assistants to perform complex desktop interactions seamlessly within MCP-compatible environments like Cursor editor.

Use This MCP server To

Automate repetitive desktop GUI tasks Control mouse and keyboard via AI commands Perform GUI testing with AI-driven interactions Enable AI agents to interact with desktop applications Integrate with MCP clients for seamless GUI automation Build AI assistants that manipulate windows and screen elements

README

PyMCPAutoGUI 🖱️⌨️🖼️ - GUI Automation via MCP

License: 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 and PyGetWindow.
  • 🖼️ 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)

🚀 Getting Started - It's Super Easy!

1. Installation (Recommended: Use a Virtual Environment!)

Using a virtual environment keeps your project dependencies tidy.

# 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:

# 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).

    {
        "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 file for details. Happy Automating! 😄

PyMCPAutoGUI FAQ

How do I integrate PyMCPAutoGUI with my MCP client?
PyMCPAutoGUI integrates seamlessly with MCP-compatible clients like Cursor editor by running as a server that exposes GUI control APIs accessible to the client.
What platforms does PyMCPAutoGUI support?
PyMCPAutoGUI primarily supports desktop environments where Python and GUI automation libraries run, typically Windows, macOS, and Linux.
Is PyMCPAutoGUI secure to use with AI agents?
Yes, it follows MCP principles for scoped and observable interactions, ensuring AI agents have controlled access to GUI automation capabilities.
Can PyMCPAutoGUI simulate both mouse and keyboard inputs?
Yes, it can simulate mouse movements, clicks, keyboard typing, and shortcuts to fully automate GUI interactions.
Does PyMCPAutoGUI allow AI agents to capture screen content?
Yes, it provides screen capture capabilities so AI agents can 'see' the desktop environment for context-aware automation.
What programming languages are needed to use PyMCPAutoGUI?
PyMCPAutoGUI is built in Python and can be accessed via MCP clients in any language that supports MCP protocol.
Can PyMCPAutoGUI be used for automated GUI testing?
Absolutely, it enables AI-driven GUI testing by simulating user interactions and verifying UI states.
How does PyMCPAutoGUI handle multi-window environments?
It provides APIs to interact with multiple windows, allowing AI agents to switch, move, and manipulate windows as needed.