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Pymcpautogui
What is Pymcpautogui
PyMCPAutoGUI is a GUI manipulation MCP server that allows AI agents to interact with the graphical user interface of a computer, enabling them to see the screen, control the mouse and keyboard, and manage windows like a human user.
Use cases
Use cases for PyMCPAutoGUI include automating data entry in applications, testing user interfaces, creating bots for desktop applications, and enhancing AI agents with GUI manipulation capabilities.
How to use
To use PyMCPAutoGUI, simply install it via pip, start the server with a command, and integrate it with your MCP-compatible client, such as the Cursor editor. It provides straightforward commands for GUI automation.
Key features
Key features include comprehensive control over GUI elements, screen perception for taking screenshots and locating images, window management capabilities, and user interaction through alert and prompt boxes.
Where to use
PyMCPAutoGUI can be used in various fields including software testing, automation of repetitive tasks, and development of AI assistants that require GUI interaction.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Pymcpautogui
PyMCPAutoGUI is a GUI manipulation MCP server that allows AI agents to interact with the graphical user interface of a computer, enabling them to see the screen, control the mouse and keyboard, and manage windows like a human user.
Use cases
Use cases for PyMCPAutoGUI include automating data entry in applications, testing user interfaces, creating bots for desktop applications, and enhancing AI agents with GUI manipulation capabilities.
How to use
To use PyMCPAutoGUI, simply install it via pip, start the server with a command, and integrate it with your MCP-compatible client, such as the Cursor editor. It provides straightforward commands for GUI automation.
Key features
Key features include comprehensive control over GUI elements, screen perception for taking screenshots and locating images, window management capabilities, and user interaction through alert and prompt boxes.
Where to use
PyMCPAutoGUI can be used in various fields including software testing, automation of repetitive tasks, and development of AI assistants that require GUI interaction.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
PyMCPAutoGUI 🖱️⌨️🖼️ - GUI Automation via MCP
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
pyautoguion 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.
-
Open MCP Configuration: In Cursor, use the Command Palette (
Ctrl+Shift+PorCmd+Shift+P) and find “MCP: Open mcp.json configuration file”. -
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).(Tip: If
mcp.jsonalready exists, just add the"PyMCPAutoGUI": { ... }part inside themcpServersobject.) -
Save
mcp.json. Cursor will detect the server. -
Automate! Use
@PyMCPAutoGUIin 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! 😄
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










