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.

The Groundlight MCP server is a service for creating and managing image detectors. It supports multiple detection modes, including binary classification, multi-class classification, and counting functions, and provides interfaces for image queries and result retrieval.

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

An MCP server based on computer vision that automatically identifies the positions of image assets and extracts the layout structure by analyzing web page screenshots, supports the detection of multiple layout patterns such as radial and grid, and helps AI assistants accurately reconstruct web page layouts.

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.

Winston AI MCP Server is a multi - functional AI detection server that provides text/image AI generation detection, plagiarism detection, and text comparison functions, supporting various integration methods and API access.

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.

The MCP server based on the GLM-4.5V model provides intelligent image analysis functions, supporting image acquisition from file paths or the clipboard. It is specifically designed for code content extraction, architecture analysis, error detection, and documentation generation.