DINO-X MCP is a project that enables large language models to perform fine-grained object detection and image understanding through DINO-X and Grounding DINO 1.6 API. It can achieve precise object positioning, counting, attribute analysis, and scene understanding, and supports natural language-driven visual tasks and workflow integration.

A computer vision server implemented based on Ultralytics and the MCP protocol, supporting functions such as object detection, image segmentation, and pose estimation

The YOLO MCP Service is a powerful computer vision service that integrates with Claude AI through the Model Context Protocol (MCP), providing functions such as object detection, segmentation, classification, and real-time camera analysis.

An AI vision analysis MCP server based on Google Gemini and Vertex AI, supporting multimodal analysis of images and videos, providing functions such as object detection and image comparison, and can be integrated into various MCP clients.

A CAPTCHA recognition MCP server based on ddddocr, providing text OCR, object detection, and slider matching functions

The OpenCV MCP Server is a Python - based computer vision service that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). It offers a full set of computer vision tools from basic image processing to advanced object detection for AI assistants and language models, including image processing, edge detection, face recognition, video analysis, and real - time object tracking.