Pyautogui
GUI automated testing and control MCP service based on PyAutoGUI
rating : 2.5 points
downloads : 23
What is the MCP-PyAutoGUI Server?
The MCP-PyAutoGUI Server is an automation tool implemented through the Model Context Protocol (MCP), supporting functions such as mouse and keyboard operations and screen capture. It can help users quickly conduct automated testing and control of desktop applications.How to use the MCP-PyAutoGUI Server?
After installation, you can start using it with simple configuration. You can easily control the mouse and keyboard, and even identify the position of images on the screen.Applicable Scenarios
Suitable for scenarios that require automated testing of desktop applications, simulating user interactions, or batch - processing tasks.Main Features
Mouse ControlSupports moving the mouse to specified coordinates, click operations, and drag - and - drop functions.
Keyboard ControlCan input text, press specific keys or key combinations.
Screen CaptureCapture a screenshot of the current screen or a specified area.
Image RecognitionFind the position of a specific image on the screen.
Screen Information RetrievalGet screen resolution and other relevant information.
Advantages and Limitations
Advantages
Cross - platform support (Windows, macOS, Linux)
Easy to use, suitable for beginners
Powerful automated testing capabilities
Limitations
May be restricted by the operating system, and some functions may not work properly
Depends on PyAutoGUI, and version compatibility needs to be ensured
How to Use
Install the Server
Install the server via pip: pip install mcp-pyautogui-server.
Configure the Desktop Client
Edit the claude_desktop_config.json file and add the server configuration.
Start the Server
Run the server to listen for MCP requests.
Usage Examples
Example 1: Automatic System LoginWrite a script to simulate the user entering a username and password and clicking the login button.
Example 2: Take a Screenshot and SaveUse the server to capture the entire screen and save it as a PNG file.
Frequently Asked Questions
Which operating systems does the MCP-PyAutoGUI Server support?
How to uninstall the server?
Does the server require administrator privileges?
Related Resources
Official Documentation
The project's GitHub homepage, containing complete documentation.
PyAutoGUI Official Documentation
The official user manual for PyAutoGUI.
Featured MCP Services

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
867
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
178
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
129
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.8K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
595
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
784
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.3K
4.7 points