Enables text-only models to understand images through a conversational MCP server, supporting multi-turn follow-ups, URL inputs, and OpenAI-compatible vision APIs.
Enables natural language interaction with complex computer vision workflows such as auto-labeling, class mapping, and embedding selection through an LLM-agnostic MCP orchestration layer.
Enables text-only language models to understand images by forwarding image and prompt requests to vision model backends via MCP, returning descriptive text. Supports multiple OpenAI-compatible providers with task routing and safety checks.
Enables semantic image search using CLIP embeddings and visual question answering through MCP tools, allowing natural language interaction with images.
Enables AI agents to perform GIMP-style image operations such as open, resize, crop, flip, rotate, blur, desaturate, text overlay, export, and batch processing via MCP tools, supporting both mock (Pillow) and live GIMP backends.