What prerequisites are required?
Windows 10 or later, Python 3.8+, Microsoft Paint (mspaint.exe), and a Google Cloud API key for Gemini AI.
@shivman
基本情報
This project demonstrates an Agentic AI system that uses a Gemini-powered MCP server to interpret natural language instructions and automate Microsoft Paint using GUI simulation tools on Windows.
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": {
"paint-ai-agent": {
"command": "python",
"args": [
"talk2mcp.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。
A Python-based automation tool that uses Google's Gemini AI to control Microsoft Paint through natural language commands, enabling users to draw shapes, write text, and manipulate colors in MS Paint using simple English instructions.
Clone the repository, install dependencies with pip install -r requirements.txt, create a .env file with your Google API key, then run python talk2mcp.py and enter natural language commands like "Draw a red circle in the center". Type 'quit' to exit.
Windows 10 or later, Python 3.8+, Microsoft Paint (mspaint.exe), and a Google Cloud API key for Gemini AI.
The system uses a calibration system to accurately locate Paint interface elements. Run `python enhanced_calibrate.py` and follow on-screen instructions to recalibrate tool positions.
Application logs are in `/logs/paint_agent_[timestamp].log`, LLM interaction logs in `/LLM_LOGS/session_log.json`, and calibration data in `/calibration_profiles/`.
Ensure MS Paint is installed and try running Paint manually first. If drawing positions are off, run calibration again and check that screen resolution matches the calibration profile.
Verify that your API key is correctly set in the `.env` file and check your internet connection.

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