OpenCV MCP Server is a Python package that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). It enables AI assistants and language models to access powerful computer vision tools for tasks ranging from basic image manipulation to advanced object detection and tracking. The server exposes a broad set of CV functionalities, including image I/O, color space conversion, resizing and cropping, edge detection, filtering, face detection, and video frame analysis. It supports pre-trained models for face and object detection (e.g., YOLO and Haar-based cascades) and offers high-level tools for features, matching, and tracking in both images and video. Configuration is simple via environment variables, and tools are organized into image basics, image processing, computer vision, and video processing categories. The MCP integration enables chained tool usage, enabling workflows that pass outputs between tools. The project includes examples for Python usage and Claude Desktop integration, and provides guidance on model files and dependencies. This setup makes OpenCV available to AI systems as a scalable, model-agnostic CV backend.