Mcp Yolo

Wraps Ultralytics YOLOE to expose zero-shot object detection and segmentation through two MCP tools. You pass an image as a local path, URL, or Base64 string, optionally specify text prompts like "blue coffee cup next to the spoon", and get back bounding boxes or polygon masks without training a model. Uses yoloe-26l-seg.pt by default, which hits 55.0 mAP on COCO at 6.2ms on T4. Reach for this when you need Claude or another agent to parse objects from images using arbitrary natural language queries instead of fixed class lists.