An MCP server that adds visual understanding to text-only LLMs via image understanding, OCR, and image comparison tools, with multi-provider fallback and context-aware Focus Hint for precise descriptions.
MCP server that provides visual question answering, image description, object detection, OCR, and image manipulation tools using OpenAI-compatible vision models.
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.
MCP server that enables LLMs to understand images without native vision by converting image regions into text encodings (ASCII art, grayscale grids, color stats) and supporting progressive zoom, OCR, and overview summaries. Users can load images, get chunk overviews, crop and encode specific regions, and extract text using normalized coordinates.
MCP server that gives text-only AI agents the ability to understand images via vision tools, including multi-image analysis, OCR, comparison, and structured extraction. It uses providers like OpenAI, Anthropic, Gemini, and OpenRouter to return plain text descriptions.