detect_edges_tool

MCP tool from Opencv MCP Server by GongRzhe

Detect edges in an image using different methods (Canny, Sobel, Laplacian, Scharr)

How to use it

detect_edges_tool is exposed by the Opencv MCP Server MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the detect_edges_tool tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.

Install Opencv MCP Server

$pip install opencv-mcp-server

FULL OPENCV MCP SERVER LISTING

Other tools in Opencv MCP Server (21)

apply_filter_tool

Apply various filters to an image (blur, gaussian, median, bilateral)

apply_threshold_tool

Apply threshold to an image (binary, adaptive, etc.)

combine_frames_to_video_tool

Combine frames into a video file

convert_color_space_tool

Convert image between color spaces (BGR, RGB, GRAY, HSV, etc.)

create_mp4_from_video_tool

Convert a video file to MP4 format

crop_image_tool

Crop a region from an image

detect_camera_objects_tool

Detect objects from computer's camera and save to video

detect_contours_tool

Detect and optionally draw contours in an image

detect_faces_tool

Detect faces in an image using Haar cascades or DNN

detect_features_tool

Detect features in an image using methods like SIFT, ORB, BRISK

detect_motion_tool

Detect motion between two frames

detect_objects_tool

Detect objects using pre-trained DNN models (e.g., YOLO)

detect_video_objects_tool

Detect objects in a video and create a detection result video

extract_video_frames_tool

Extract frames from a video file

find_shapes_tool

Find basic shapes in an image (circles, lines)

get_image_stats_tool

Get statistical information about an image

match_features_tool

Match features between two images

match_template_tool

Find a template in an image

resize_image_tool

Resize an image to specific dimensions

save_image_tool

Save an image to a file

track_object_tool

Track an object across video frames