pyautogui-mcp

<div align="center"> <a target="_blank" href="https://github.com/chigwell/pyautogui-mcp"> <img src="https://capsule-render.vercel.app/api?type=waving&color=gradient&height=200&section=header&text=PyAutoGUI-MCP&fontSize=50&fontAlignY=35&animation=fadeIn&fontColor=FFFFFF&descAlignY=55&descAlign=62" alt="Telegram MCP Server" width="100%" /> </a> </div> PyAutoGUI-MCP exposes MCP tools dynamically from the [`PyAutoGUI`](https://pypi.org/project/PyAutoGUI/) API. It does not manually reimplement or wrap each function: it auto-registers the available API. ## Install with pip ```bash pip install pyautogui-mcp ``` Run the server: ```bash pyautogui-mcp --transport stdio pyautogui-mcp --transport http --host 127.0.0.1 --port 8000 ``` MCP client config example: ```json { "mcpServers": { "pyautogui-mcp": { "command": "pyautogui-mcp", "args": ["--transport", "stdio"] } } } ``` ## Run with uv Dependencies are declared in `pyproject.toml`, so uv can resolve and run directly: ```json { "mcpServers": { "pyautogui-mcp": { "command": "uv", "args": [ "--directory", "/full/path/to/pyautogui-mcp", "run", "python", "-m", "pyautogui_mcp" ] } } } ``` You can also launch manually: ```bash uv run python -m pyautogui_mcp --transport stdio uv run python -m pyautogui_mcp --transport http --host 127.0.0.1 --port 8000 ``` ## Use in your own project Import only what you need and run it under your own server lifecycle: ```python from pyautogui_mcp import mcp, register_pyautogui_api register_pyautogui_api(prefix="pyautogui_") mcp.run() # or mcp.run(transport="http", host="127.0.0.1", port=8000) ``` Other exports: ```python from pyautogui_mcp import pyautogui_diagnose, pyautogui_tools ``` ## Desktop control notes - The server runs actions on the machine where it is launched (current desktop/display). - PyAutoGUI requires a real GUI session; headless environments will fail. …