MCP server for simplest GUI agent 🕹️🤖

pyautogui_mcp_server packages a Streamable HTTP MCP server for running Python code with pyautogui instrumentation.

It is designed for GUI automation workflows where plain pyautogui execution is not enough. The package adds MCP-friendly output handling, and richer screenshots.

✨ What this package adds

Compared with running raw pyautogui calls directly, this library adds extra effort in the following areas:

• Shared Python globals across tool calls.

• Captured stdout, stderr, and final expression results in one MCP response stream.

• Inline screenshot delivery as MCP image content instead of requiring manual file handling.

• Annotated mouse-operation previews that show the target point or path before the action runs.

• Screenshot normalization so captured images line up better with logical screen coordinates.

Related MCP server: LLM Python Code Sandbox

🛠️ Tool response example

<stdout>
Cut the right rope by dragging left to right through it.
</stdout>
<pyautogui-mcp.dragTo x=860 y=430 duration=0.2 button='left' 
    time_offset="T+1.1s" pyautogui.size=(1440, 900)>

</pyautogui-mcp.dragTo>

📦 Installation

pip install pyautogui_mcp_server

For local development:

pip install -e .[dev]

🚀 Run the MCP server

Use the module entrypoint:

python -m pyautogui_mcp_server --host 127.0.0.1 --port 9300

Or use the installed console script:

pyautogui-mcp-server --port 9300

Show CLI help:

python -m pyautogui_mcp_server --help

The server exposes a run_python_with_pyautogui MCP tool that executes Python with instrumented pyautogui behavior.

📄 License

MIT