Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
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Developer Tools · Image & Video
Opencv MCP Server
GongRzhe/opencv-mcp-server
OpenCV MCP Server is a Python package that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). This allows AI assistants and language models to access powerful computer vision tools for tasks ranging from basic image manipulation to advanced object detection and tracking.
Install
uvx opencv-mcp-serverClient configuration
{
"mcpServers": {
"opencv": {
"command": "uvx",
"args": [
"opencv-mcp-server"
]
}
}
}- GitHub stars
- 4
- Author
- @GongRzhe
- Category
- Developer Tools, Image & Video
- License
- MIT
- Updated
- Oct 6, 2026
About Opencv MCP Server
MCP server providing powerful OpenCV computer vision capabilities for AI assistants.
Features
Basic image handling and manipulation (read, save, convert)
Image processing and enhancement (resize, crop, filter application)
Edge detection and contour analysis
Advanced computer vision capabilities (feature detection, object detection)
Face detection and recognition
Video processing and analysis (frame extraction, motion detection)
Object tracking in videos
Camera integration for real-time object detection
Tools (22)
save_image_tool
Save an image to a file
convert_color_space_tool
Convert image between color spaces (BGR, RGB, GRAY, HSV, etc.)
resize_image_tool
Resize an image to specific dimensions
crop_image_tool
Crop a region from an image
get_image_stats_tool
Get statistical information about an image
apply_filter_tool
Apply various filters to an image (blur, gaussian, median, bilateral)
detect_edges_tool
Detect edges in an image using different methods (Canny, Sobel, Laplacian, Scharr)
apply_threshold_tool
Apply threshold to an image (binary, adaptive, etc.)
detect_contours_tool
Detect and optionally draw contours in an image
find_shapes_tool
Find basic shapes in an image (circles, lines)
match_template_tool
Find a template in an image
detect_features_tool
Detect features in an image using methods like SIFT, ORB, BRISK
match_features_tool
Match features between two images
detect_faces_tool
Detect faces in an image using Haar cascades or DNN
detect_objects_tool
Detect objects using pre-trained DNN models (e.g., YOLO)
extract_video_frames_tool
Extract frames from a video file
detect_motion_tool
Detect motion between two frames
track_object_tool
Track an object across video frames
combine_frames_to_video_tool
Combine frames into a video file
create_mp4_from_video_tool
Convert a video file to MP4 format
detect_video_objects_tool
Detect objects in a video and create a detection result video
detect_camera_objects_tool
Detect objects from computer's camera and save to video
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
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