opencv-mcp-server
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OpenCV MCP Server is a Python package that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP).
OpenCV MCP Server is a powerful tool that integrates OpenCV's extensive computer vision capabilities with the Model Context Protocol (MCP), enabling AI assistants and language models to perform a wide range of image and video processing tasks. This server allows for real-time object detection, image enhancement, and video analysis, making it an essential tool for applications in autonomous systems, security, augmented reality, and more. With features like face detection, object tracking, and camera integration, OpenCV MCP Server provides a comprehensive suite of tools for extracting meaningful information from visual data. The server is highly configurable, supporting various image formats and offering advanced algorithms for image transformation and enhancement. It is designed to be easily integrated into different platforms, providing a seamless experience for developers looking to leverage computer vision in their projects.
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)
- Video processing and analysis (frame extraction, motion detection)
Tools
Image Basics
Basic image operation tool
Image processing
Advanced image processing tools
Computer Vision
Advanced Vision Ability Tools
Video processing
Video analysis and processing tools
