Enables non-vision LLMs to understand images, extract text via OCR, and parse documents through a unified MCP interface, with local-first processing and optional OpenAI-compatible channels.
Local MCP server that provides multi-modal vision capabilities to single-modal base models via API, supporting multi-turn iterative image recognition and document image parsing.
Enables AI-powered vision analysis using local Ollama models. Supports screenshot analysis, OCR, text detection, and health monitoring via MCP protocol.
Enables a fully local multi-agent AI system with 45 specialized agents and 50 predefined workflows via MCP, powered by Ollama and requiring no internet.
Adds vision capabilities to text-only LLMs by integrating external vision models via MCP. It supports OCR, error screenshot reading, UI description, image comparison, and natural-language queries on images.