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
基本信息
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"paint-ai-agent": {
"command": "python",
"args": [
"talk2mcp.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。
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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