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
基本情報
Using Advanced AI Prompting to enhance LLM planning to solve complex math problems and draw the answer on MSPaint Canvas
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"MSPaint-MCP-Server-V2": {
"command": "python",
"args": [
"mcp_paint_app/mcp_client.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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