Data Science Ai Mcp

A machine learning toolkit that exposes data science operations through MCP. It handles feature importance ranking, model comparison, dataset profiling, correlation analysis, and visualization recommendations. You'd reach for this when you need to quickly analyze datasets or compare model performance without writing boilerplate pandas and scikit-learn code. The server markets EU AI Act compliance features including bias detection and risk management tracking, positioning itself as part of the MEOK AI Labs ecosystem. Ships via pip with stdio transport. The documentation is light on specific tool names and parameters, but the core use case is clear: streamline common ML analysis tasks through a conversational interface instead of notebooks.