sahiltarlana/IMAGE_MCP_SERVER
3.2
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ImageOps MCP Server is a FastMCP-based Python server for advanced image processing tasks, leveraging YOLO models and OpenCV.
Tools
Functions exposed to the LLM to take actions
fetch_image
Fetches an image from a given URL or local path.
convert_image_format
Converts an image to a specified format and optionally saves it.
detect_objects_yolo
Performs object detection using YOLOv8 and saves the annotated image.
segment_objects_yolo
Performs YOLOv11 segmentation with customizable transparency.
canny_edge_detection
Applies Canny edge detection with specified thresholds.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client