Zero-dependency MCP server that equips text-only LLMs (e.g., DeepSeek) with vision by converting images to text descriptions via OpenAI-compatible vision APIs, exposing an img2text tool with multi-provider fallback.
A local MCP server that gives LLMs eyes for images by performing object detection (YOLOv8) and text recognition (EasyOCR), outputting descriptive statements about objects and text positions without any API key or cloud dependency.
An MCP server that enables any LLM to describe images from file paths, URLs, or base64 data by forwarding them to a supported vision provider such as OpenAI, Anthropic, or local Ollama models.
MCP server for local image generation using FLUX.2 via Hugging Face diffusers, designed to run on a Windows GPU and be called remotely by Claude Cowork over Tailscale.
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.
