ComfyUI Server
БесплатноНе проверенEnables Claude to generate images through a local ComfyUI instance using Stable Diffusion and SDXL models via natural language. Users can trigger image generati
Описание
Enables Claude to generate images through a local ComfyUI instance using Stable Diffusion and SDXL models via natural language. Users can trigger image generation, list available checkpoint models, and monitor the ComfyUI queue status directly from their MCP client.
README
Generate images from Claude using your local ComfyUI setup
Installation • Setup • What You Can Do • Configuration • Development
What is this?
ComfyUI MCP Server connects Claude Desktop (or Claude Code) to your local ComfyUI instance. Once set up, you can ask Claude to generate images and it will run them through Stable Diffusion, SDXL, or whatever checkpoint models you have installed -- no copy-pasting prompts between apps.
It works over MCP (Model Context Protocol), which means Claude treats your ComfyUI setup as a native tool.
Example conversation:
You: Generate a watercolor painting of a coastal village at sunrise
Claude: I'll generate that using your SDXL model.
[calls generate_image -> ComfyUI runs the workflow -> returns result]
Done -- saved as ComfyUI-MCP_00042.png (14.2s)
How it works
Claude Desktop / Claude Code
|
v
MCP Server (stdio)
|
v
ComfyUI REST API (localhost:8188)
|
v
Your GPU -> Stable Diffusion / SDXL / etc.
The server translates Claude's tool calls into ComfyUI workflow submissions, polls for completion, and returns the results.
Prerequisites
- Python 3.11+
- ComfyUI running locally (default:
http://127.0.0.1:8188) - At least one checkpoint model installed in ComfyUI
Installation
git clone https://github.com/MatthewSnow2/comfyui-mcp.git
cd comfyui-mcp
python -m venv .venv
source .venv/bin/activate # Linux/macOS
# .venv\Scripts\activate # Windows
pip install -e ".[dev]"
Setup
1. Configure environment
Copy .env.example to .env and adjust if needed:
cp .env.example .env
| Variable | Default | What it does |
|---|---|---|
COMFYUI_URL |
http://127.0.0.1:8188 |
Where your ComfyUI is running |
COMFYUI_OUTPUT_DIR |
~/comfyui-output |
Where generated images get saved |
COMFYUI_DEFAULT_MODEL |
sd_xl_base_1.0.safetensors |
Which checkpoint to use by default |
COMFYUI_DEFAULT_STEPS |
20 |
Sampling steps |
COMFYUI_DEFAULT_WIDTH |
1024 |
Image width (px) |
COMFYUI_DEFAULT_HEIGHT |
1024 |
Image height (px) |
COMFYUI_DEFAULT_CFG_SCALE |
7.0 |
CFG scale |
2. Add to Claude Desktop
Add this block to your claude_desktop_config.json:
{
"mcpServers": {
"comfyui": {
"command": "/path/to/comfyui-mcp/.venv/bin/comfyui-mcp",
"env": {
"COMFYUI_URL": "http://127.0.0.1:8188",
"COMFYUI_DEFAULT_MODEL": "sd_xl_base_1.0.safetensors"
}
}
}
}
Replace /path/to/comfyui-mcp with your actual install path.
Config file locations:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
3. Restart Claude Desktop
Restart the app. You should see "comfyui" listed in the MCP tools dropdown.
What you can do
Generate images
Ask Claude to generate an image from any text prompt. It handles prompt engineering, model selection, and parameter tuning.
| Parameter | Type | Default | Description |
|---|---|---|---|
prompt |
string | (required) | What you want to see |
negative_prompt |
string | "" |
What to avoid |
model |
string | config default | Checkpoint model name |
width |
int | 1024 |
Width in pixels |
height |
int | 1024 |
Height in pixels |
steps |
int | 20 |
Sampling steps (more = slower but often better) |
cfg_scale |
float | 7.0 |
How closely to follow the prompt |
seed |
int | -1 |
Random seed (-1 = random each time) |
List your models
Ask "what models do I have?" and Claude will show every checkpoint installed in your ComfyUI.
Check queue status
Ask "what's in the queue?" to see how many jobs are pending, running, or completed.
Look up past generations
Give Claude a prompt ID from a previous generation and it will pull up the details.
Real usage examples
You: What models do I have?
Claude: You have 3 checkpoints:
- sd_xl_base_1.0.safetensors
- dreamshaper_8.safetensors
- realisticVision_v51.safetensors
You: Generate a cyberpunk street scene using dreamshaper at 512x768
Claude: [runs generation with dreamshaper_8, 512x768]
Done -- ComfyUI-MCP_00043.png (8.3s)
You: Same scene but make it daytime and use realisticVision
Claude: [runs generation with realisticVision_v51, same dimensions]
Done -- ComfyUI-MCP_00044.png (9.1s)
Development
Run tests
pytest
Lint and type check
ruff check src/ tests/
mypy src/
Run the server directly
python -m src.server
Project structure
comfyui-mcp/
src/
server.py # MCP server entry point
comfyui_client.py # HTTP client for ComfyUI API
config.py # Settings via pydantic-settings
models.py # Pydantic data models
workflows.py # ComfyUI workflow templates
tests/ # pytest suite
pyproject.toml
README.md
Built with
- MCP SDK -- Model Context Protocol
- ComfyUI -- Node-based Stable Diffusion UI
- Pydantic -- Data validation
- httpx -- Async HTTP client
License
MIT
Установить ComfyUI Server в Claude Desktop, Claude Code, Cursor
unyly install comfyui-mcp-serverСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add comfyui-mcp-server -- uvx --from git+https://github.com/m2ai-archive/comfyui-mcp comfyui-mcp-serverПошаговые гайды: как установить ComfyUI Server
FAQ
ComfyUI Server MCP бесплатный?
Да, ComfyUI Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для ComfyUI Server?
Нет, ComfyUI Server работает без API-ключей и переменных окружения.
ComfyUI Server — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить ComfyUI Server в Claude Desktop, Claude Code или Cursor?
Открой ComfyUI Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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