Exposes ComfyUI workflows as 12 MCP tools on ComfyUI's own port, letting AI agents generate, edit, and remove backgrounds from images plus create videos by passing semantic parameters instead of whole workflow graphs. Agents can list models, submit and track async tasks, fetch artifact URLs, and jump to a visual asset/task page.
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.
Turns curated ComfyUI workflows into typed MCP tools and REST endpoints, enabling image generation and job management through natural language or HTTP calls.
Exposes the workflows saved in a ComfyUI server (local, remote, or vast.ai) as MCP tools, letting agents list them, inspect their inputs, and run them with their own prompts, images, seeds, and per-run node toggles. It also reports server/GPU status, tracks and downloads job outputs, and uploads images or browses model folders.