Comfy UI MCP Server – Overview

The Comfy UI MCP Server bridges an AI assistant with a locally running Comfy UI instance, turning the UI’s workflow capabilities into a set of machine‑readable resources, prompts and tools. By exposing a note‑storage subsystem and a summarisation prompt, the server gives an assistant instant access to structured text data that can be manipulated and queried through MCP. This is especially useful for developers who want to embed lightweight, persistent notes into their AI‑driven pipelines without building a full database layer.

At its core the server implements three MCP concepts:

• Resources – A simple note storage system. Each note is addressed via a custom URI, and the resource carries metadata such as name, description and plain‑text content. This allows an assistant to retrieve, list or watch notes as first‑class objects.
• Prompts – The prompt aggregates all stored notes and produces a concise or detailed summary depending on the argument. The assistant can invoke this prompt to generate quick overviews of accumulated information, which is handy for briefing or reporting tasks.
• Tools – The tool lets an assistant create new notes by supplying a name and content. When executed, the server updates its state and notifies any subscribed clients of the change, enabling real‑time collaboration between users and assistants.

These features turn a local Comfy UI instance into an AI‑friendly knowledge base. Developers can integrate the server into existing MCP workflows by configuring their assistant to register as a target. Once connected, the assistant can read notes (), add new entries (), or ask for a summary (). Because the server runs over standard I/O, it can be launched as a lightweight process from any environment that supports MCP clients.

Typical use cases include:

• Rapid prototyping – Quickly capture ideas or code snippets while experimenting with Comfy UI workflows, then let the assistant retrieve or summarise them later.
• Documentation automation – Store configuration notes, model details or usage guidelines in the server and generate concise summaries for onboarding documents.
• Collaborative sessions – Multiple users or assistants can read and update notes in real time, with the server broadcasting changes so everyone stays synchronized.

The Comfy UI MCP Server stands out by providing a ready‑made, opinionated note system that aligns naturally with the Comfy UI ecosystem. Its minimal API surface keeps integration painless, while still offering the flexibility of MCP’s extensible resource and tool model. For developers looking to enrich AI assistants with persistent, structured data without the overhead of a separate database, this server offers an elegant, plug‑and‑play solution.