Dynamically loads ComfyUI workflows as MCP tools, enabling AI assistants to generate images, videos, and audio by executing workflows across categories like text-to-image, image-to-video, and text-to-audio with automatic parameter mapping and progress monitoring.
MCP server that dynamically exposes each enabled ComfyUI workflow as a tool with JSON Schema, supports job submission with wait and idempotency, file uploads, and resource metadata, with both stdio and authenticated Streamable HTTP transports.
MCP server exposing a local (or LAN) ComfyUI instance's HTTP API as tools, so an LLM client can queue generations, inspect the queue/history, upload reference images, browse installed models/nodes, and pull back generated images.
