This is an MCP server that connects to the Tuba.ai platform, allowing you to control and interact with AI vision workflows programmatically, providing functions such as execution, monitoring, configuration, and file upload.

MCP OpenVision is an image analysis server based on OpenRouter's vision models, providing image analysis capabilities for AI assistants.

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.

A web screenshot tool optimized for AI vision workflows. Automatically segments the entire web page into 1072x1072 pixel tiles to ensure the best processing effect. Supports MCP integration and screen recording functions

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.

ScreenMonitorMCP is a revolutionary AI vision server project that provides real-time screen monitoring, visual analysis, and intelligent interaction capabilities for AI assistants such as Claude, enabling AI to 'see' and operate the user's screen.

Android-MCP is a lightweight open-source project that serves as a bridge between AI agents and Android devices. It enables real-world task operations such as app navigation, UI interaction, and automated testing through the MCP server, without relying on traditional computer vision or pre-set scripts.

MCP Hub is a framework for creating and managing Model Context Protocol (MCP) servers and clients, integrating the UV tool to simplify package management and configuration. The project includes AI - related computer vision scripts and dataset processing tools, supporting rapid deployment and development.

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.

A web page screenshot tool optimized for AI vision workflows, automatically splitting into 1072x1072 pixels to meet the processing requirements of the Claude Vision API

MCP-hfspace is a server tool that simplifies the connection to Hugging Face Spaces. It supports multiple AI functions such as image generation, speech processing, and vision models, and seamlessly integrates with Claude Desktop.

An image recognition server based on the Model Context Protocol that provides image analysis and description functions through OpenAI-compatible vision models, supporting cloud and local model integration.

An MCP server that provides AI visual analysis capabilities, supporting functions such as web page screenshot capture, visual analysis, file operations, and report generation. Suitable for AI assistants such as Claude.

This is a FiftyOne MCP server project that allows users to use natural language through AI assistants (such as ChatGPT and Claude) to explore and manage computer vision datasets. It provides functions such as dataset management, operation execution, plugin installation, and session control, exposing more than 80 built - in operators and the plugin ecosystem of FiftyOne to AI tools.

Azure AI Vision Face Liveness Detection MCP Server for embedding proof of existence in Agentic AI workflows.

TEN Agent is a multi-functional AI agent framework that integrates real-time vision, voice recognition, and screen sharing detection capabilities, and supports rapid expansion and development.

A complete Groq MCP Server project that serves as an intelligent bridge to connect applications with the Groq API, supports multiple AI models (text, audio, vision, batch processing), and has advanced functions such as intelligent routing, rate limiting, and cache optimization.