A universal MCP server that lets agents discover ComfyUI nodes, build/edit/run API workflows, manage queues, retrieve outputs, and optionally render graphs on a ComfyUI canvas.
MCP server that enables AI agents to control a local ComfyUI instance for image generation, allowing workflow understanding, parameter modification, execution, and model discovery.
MCP server that connects local ComfyUI to AI agents, enabling natural language control of ComfyUI for creating workflows, generating images, and managing the queue.
The MCP server that drafts ComfyUI workflows a human can actually read. It lets coding agents build, repair, port, validate, and run ComfyUI workflows against your own ComfyUI instance, delivering clean, organized, fully-labeled workflows.
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.