comfyui-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@comfyui-mcpgenerate an image of a futuristic city"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
comfyui-mcp
A Model Context Protocol(MCP) server that exposes ComfyUI workflows as callable MCP tools. Built using FastMCP and comfyui-utils.
Installation
Contents of this package require Python 3.11 or higher.
pip install comfyui-mcpRelated MCP server: ComfyUI MCP Server
Quick Start
mcpo --port 8000 --api-key "AwesomeKey" -- python3 -m comfyui_mcp.serverArguments
ComfyUI Connection (--comfyui.*)
--comfyui.host(default:127.0.0.1:8188) - ComfyUI host and port--comfyui.request_timeout(default:5) - Timeout in seconds for ComfyUI API requests--comfyui.use_remote_workflow(default:True) - Pull workflows from ComfyUI API (True) or load from local directory (False)--comfyui.workflow_directory(default:workflows) - Local directory path for workflow JSON files
Output Formatting (--generate.*)
--generate.audio_url_template- Template for audio output URLs (vars:{index},{url})--generate.image_url_template- Template for image output URLs (vars:{index},{url})--generate.unknown_url_template- Template for unknown output types (vars:{index},{url})--generate.nothing_generated_message- Message when workflow executes but produces no output--generate.reply_include_workflow(default:True) - Include executed workflow parameters in response--generate.reply_workflow_format_indent(default:2) - JSON indentation for workflow output--generate.reply_workflow_format_sort_keys(default:True) - Sort JSON keys in workflow output--generate.reply_workflow_template- Template for workflow parameters section (vars:{workflow_params})--generate.result_generated_message_template- Overall message template (vars:{image_list})
Architecture Overview
src/comfyui_mcp/__about__.py: Version and license metadata
argument_parser.py: CLI argument definitions using pydantic
base_types.py: Shared type aliases
function_utils.py: Dynamic function wrapper generation
workflow_loader.py: Load workflows from disk or ComfyUI API
workflow_utils.py: Workflow preparation and invocation
server.py: FastMCP server entry point
How It Works
Workflow Preparation:
For local workflows: Export your ComfyUI workflow in API format (use "Save (API Format)" in ComfyUI's menu). Place the JSON file in your configured workflows directory.
For remote workflows: Build and save your workflow in ComfyUI, then start or restart the MCP server. The server will automatically fetch and register available workflows from the ComfyUI instance.
Tool Registration: The server parses workflow JSON and automatically detects parameters by scanning for:
Primitive nodes (
PrimitiveFloat,PrimitiveInt,PrimitiveString, etc.) - extracted as typed parametersLoadImageOutput nodes - exposed as image input parameters
Node titles (from
_meta.title) become the parameter names in the MCP tool
Workflow Execution: When a tool is invoked:
User-provided parameters are mapped back to their corresponding primitive nodes
The workflow is deep-copied and parameter values are injected into
inputs.valuefieldsThe prepared workflow is submitted to ComfyUI's API
Results are polled until completion
Generated outputs are returned as accessible URLs (format is user-configurable)
Batch Processing: Supports
submit_batchparameter for generating multiple variations:Automatically randomizes seeds for each generation
Executes workflows sequentially
Collects and returns all results together
Development
pip setup -hatch
hatch test
hatch build
hatch run releaseContributing
Fork the repo on GitHub.
Make changes, add tests, and build
Run
hatch testto ensure all passesSubmit a PR
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