MCP Pyautogui Server
M

MCP Pyautogui Server

An MCP server based on PyAutoGUI that provides automated GUI testing and control functions and supports cross-platform operations.
2.5 points
8.0K

What is mcp-pyautogui-server?

mcp-pyautogui-server is a server based on the Model Context Protocol (MCP) that allows you to automatically control the mouse and keyboard operations of a computer through simple commands, enabling automated testing and GUI control.

How to use mcp-pyautogui-server?

After installation, you can control mouse movement, clicks, keyboard input, etc. by sending MCP protocol commands. You can also obtain screen information or find the position of a specific image.

Use cases

Suitable for scenarios such as automated testing, automation of repetitive GUI operations, screen content monitoring, and teaching demonstration recording.

Main features

Mouse control
Can precisely control mouse movement, clicks, dragging, and other operations
Keyboard control
Simulate keyboard input, supporting single keys, combination keys, and text input
Screen operations
Take screenshots, obtain screen information, find image positions, and get pixel colors
Cross-platform support
Supports Windows, macOS, and Linux systems
Advantages
Simple and easy-to-use automated control interface
Cross-platform compatibility
Rich mouse and keyboard control functions
Supports image recognition and screen operations
Limitations
Requires Python environment support
Some functions may vary on different operating systems
The accuracy of image recognition is affected by screen resolution

How to use

Installation
Ensure that Python 3.12+ is installed, and then install the server via pip
Configure Claude Desktop
Add server configuration to the Claude configuration file
Start the server
Start the server through the configured command

Usage examples

Automated form filling
Automatically fill in information in a web form and submit it
Screen monitoring
Regularly check if a specific icon appears on the screen

Frequently Asked Questions

Which operating systems does this server support?
Is administrator permission required to run?
How to debug the server?

Related resources

PyAutoGUI documentation
Official documentation of the PyAutoGUI library used at the bottom layer
MCP protocol specification
Official specification of the Model Context Protocol
GitHub repository
Project source code repository

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "mcp-pyautogui-server": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/mcp-pyautogui-server",
        "run",
        "mcp-pyautogui-server"
      ]
    }
  }
}

{
  "mcpServers": {
    "mcp-pyautogui-server": {
      "command": "uvx",
      "args": [
        "mcp-pyautogui-server"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
9.7K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.2K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.6K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
8.4K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.3K
5 points
N
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
15.0K
4.5 points
M
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
25.0K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.5K
4.3 points
G
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
16.1K
4.3 points
F
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
45.7K
4.5 points
U
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#
20.6K
5 points
C
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
65.8K
4.7 points
M
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
31.2K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase