ComfyUI_MCP

This repository provides a Model Context Protocol (MCP) server that exposes local ComfyUI workflow files and the remote ComfyUI model catalog to compatible LLM clients.

Features

• Discovers workflow .json files stored under the workflows/ directory and exposes them as MCP resources.

• Tools for listing workflow metadata and reading workflow contents.

• Tool for recursively querying the ComfyUI /api/models endpoints so an LLM can inspect the available checkpoints, LoRAs, and other assets.

• Configuration via CLI arguments or environment variables so the server can be launched from JSON descriptors (e.g., Cursor MCP definitions).

Related MCP server: ComfyUI MCP Server

Installation

Create a virtual environment (recommended) and install the package in editable mode with your preferred installer:

pip install -e .

The project also works with uv so you can install or run it without using pip directly:

uv pip install -e .

# or run without installing into the current environment
uvx --from . comfyui-mcp --help

Running the server

The installed comfyui-mcp entry point launches the MCP server over stdio. Common configuration options can be supplied either as CLI flags or environment variables:

Example stdio launch configuration for a Cursor MCP JSON definition:

If you prefer uvx, the same configuration can be expressed as:

{
  "comfyui": {
    "command": "uvx",
    "args": [
      "--from",
      ".",
      "comfyui-mcp",
      "--workflow-dir",
      "./workflows",
      "--api-base-url",
      "http://127.0.0.1:8188/"
    ]
  }
}

When referencing the project locally with uvx, ensure the working directory is set to the repository root (or adjust the --from path accordingly) so the package can be resolved without requiring it to be published to an external index.

Place your ComfyUI workflow files in the workflows/ directory (or whatever directory you configure) so they are available to the LLM.