mcp-server-cvdlt
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Python server implementing Model Context Protocol (MCP) for image object detection, segmentation, and pose estimation operations.
detect_objects
Detect objects in an image using YOLOv10. Returns JSON array of detected objects with bounding boxes, confidence scores, and class labels.
segment_objects
Segment objects in an image using YOLOv8. Returns JSON array of segmented objects with bounding boxes, confidence scores, and class labels.
segment_image
Segment entire image using Ultralytics SAM. Returns JSON array of segmented regions with bounding boxes, areas, and confidence scores.
estimate_pose
Estimate human poses in an image using YOLOv8. Returns JSON array of detected poses with keypoint coordinates and confidence scores.
