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by sahiltarlana • Uncategorized
A FastMCP-based Python server for advanced image processing including detection, segmentation, and filtering.
Perform object detection and segmentation on images.
Convert, crop, or apply filters to images programmatically.
Integrate advanced image processing capabilities into AI-driven workflows.
ImageOps MCP Server provides tools for fetching, manipulating, and analyzing images using state-of-the-art models like YOLOv8 and YOLOv11, along with OpenCV and PIL for various image operations. It supports object detection, segmentation, edge detection, format conversion, cropping, thumbnail creation, image filtering, and 3D point cloud generation. Designed for extensibility and integration with AI workflows, it works seamlessly with tools like Claude Desktop and Cursor.