mcp-pyautogui is an MCP server integrating PyAutoGUI to allow AI systems to automate mouse, keyboard, and screen tasks seamlessly. It supports control, screen capture, and OS detection, facilitating desktop automation for developers and AI enthusiasts.
Added on:
Created by:
Mar 28 2025
mcp-pyautogui is an MCP server integrating PyAutoGUI to allow AI systems to automate mouse, keyboard, and screen tasks seamlessly. It supports control, screen capture, and OS detection, facilitating desktop automation for developers and AI enthusiasts.
Added on:
Created by:
Mar 28 2025
Ashraff Hathibelagal
Featured
What is mcp-pyautogui?
mcp-pyautogui implements a Model Context Protocol (MCP) server for PyAutoGUI, enabling remote desktop automation through standard input/output. It provides functions to control mouse movements, clicks, drags, keyboard input, screenshots, and pixel color detection. The server simplifies AI integration for automating repetitive tasks on Windows, macOS, and Linux systems, focusing on reliability and ease of use. It requires Python 3.11+ and proper permissions, making it suitable for developers and AI workflows seeking to incorporate desktop automation. Features include controlling cursor, input simulation, capturing screen images, and retrieving system info, supporting automation scripting and AI-driven workflows.
Who will use mcp-pyautogui?
- AI developers
- Automation engineers
- Desktop automation enthusiasts
- Software testers
- Productivity tool integrators
How to use the mcp-pyautogui?
- Step 1: Install the MCP server using pip: pip install mcp-pyautogui.
- Step 2: Run the MCP server to start listening for commands.
- Step 3: Connect an MCP-compatible client (e.g., an AI agent) that can send JSON-RPC commands.
- Step 4: Send commands like 'click(100, 200)', 'type_text("hello")', or 'take_screenshot("image.png")' to automate tasks.
- Step 5: Monitor responses and adjust commands as needed for automation workflows.
mcp-pyautogui's Core Features & Benefits
The Core Features
- click(x, y)
- right_click(x, y)
- move_to(x, y)
- drag_to(x, y, duration)
- type_text(text)
- press_key(key)
- hotkey(keys)
- scroll(amount)
- take_screenshot(filename)
- get_mouse_position()
- get_os()
- double_click(x, y)
- get_screen_size()
- pixel_color(x, y)
The Benefits
- Enables remote desktop automation via AI systems.
- Supports multiple OS platforms with simple commands.
- Facilitates automation of repetitive tasks, improving efficiency.
- Easy to install and integrate into existing workflows.
- Provides reliable control over mouse, keyboard, and screen.
mcp-pyautogui's Main Use Cases & Applications
- Automating repetitive desktop tasks for productivity.
- Integrating AI agents for GUI testing and automation.
- Remote control of desktop environments for support and monitoring.
- Creating custom automation tools for data entry and retrieval.
- Automating gameplay or multimedia control.
FAQs of mcp-pyautogui
Developer
- hathibelagal-dev
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