MCP server that gives Claude and other clients vision capabilities including screenshot-to-code, OCR, error diagnosis, diagram analysis, data-viz insights, UI diff checks, and video analysis via any OpenAI-compatible vision endpoint.
MCP server that provides vision capabilities to coding agents, enabling them to analyze screenshots, UI mockups, terminal errors, documents, tables, and charts through OpenAI-compatible vision models. Supports local stdio and remote HTTP deployments with structured JSON output and binary upload side channels.
MCP server that provides a 'borrowed eye' for text-only LLMs, enabling them to identify and describe local images via the Qwen VL vision model, including face recognition, scene description, OCR, and targeted visual questioning.
Multi-model vision understanding MCP server that provides unified image analysis for AI assistants without native vision, supporting models like GLM-4.6V, DeepSeek-OCR, Qwen3-VL-Flash, and more.
MCP server that adds vision capabilities to text-only AI models by sending images (local files, URLs, clipboard, screenshots) to a vision model and returning text descriptions.
