A Model Context Protocol server that gives AI assistants OCR with first-class accuracy handling and evaluation. It wraps three engines behind one interface and can score and compare them.
A Model Context Protocol server that provides multimodal vision tools such as image description, OCR, visual Q&A, and object detection, powered by any vision model via OpenRouter.
A Model Context Protocol server that extracts images from URLs or base64 data and converts them into a format suitable for LLM analysis, allowing AI models to process and understand visual content.
An MCP server that adds image recognition to AI coding tools, enabling them to analyze images, extract text, and perform OCR via multimodal APIs and traditional OCR engines.
A Model Context Protocol server that provides web scraping capabilities, enabling AI to extract and analyze web content through page structure analysis, schema-based extraction, and screenshot capture.
A local OCR MCP server that extracts text from images using PP-OCRv6 for fast text extraction and VL-1.6 for document structure analysis, with automatic model routing and GPU detection.