Control YOLO Training and Datasets from Claude/Cursor via MCP

An MCP server that enables control of Ultralytics YOLO model training and dataset management directly from AI coding assistants like Claude and Cursor. It exposes YOLO workflows as MCP tools, allowing users to trigger training runs and interact with datasets through natural language interfaces. The project is open source and available on GitHub.