What are the system dependencies and runtime requirements?
Python 3.11+ and Conda are recommended. Dependencies include `pywin32`, `pywinauto`, `fastmcp`, `python-dotenv`, `google-genai`, and `rich`. A Google Gemini API key is required.
@shettysaish20
基本信息
Using Advanced AI Prompting to enhance LLM planning to solve complex math problems and draw the answer on MSPaint Canvas
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"MSPaint-MCP-Server-V2": {
"command": "python",
"args": [
"mcp_paint_app/mcp_client.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
An MCP (Model Context Protocol) server that enables an AI agent powered by Google Gemini to automate legacy Windows MSPaint. The agent solves complex multi‑step math problems and draws the final answer on the Paint canvas using tools defined via fastmcp and pywinauto. It is intended for developers and researchers exploring structured prompting and tool‑augmented AI workflows.
pip install -r requirements.txt..env file as GEMINI_API_KEY=YOUR_KEY.python mcp_paint_app/mcp_client.py.Python 3.11+ and Conda are recommended. Dependencies include `pywin32`, `pywinauto`, `fastmcp`, `python-dotenv`, `google-genai`, and `rich`. A Google Gemini API key is required.
Review the system prompt in the client code; ensure tool descriptions are accurate and complete. Adjust the prompt if necessary.
Coordinates used for clicking and drawing may need adjustment based on your screen resolution and window size. Use the debugging print statements in the code to identify and set the correct values.
Try running
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