zimage-mcp
A local MCP server for generating web-dev images using the Z-Image Turbo model on ComfyUI, with presets and exact pixel dimensions.
README
zimage-mcp
A local MCP server for generating web-dev images with the
Z-Image Turbo model running on the ComfyUI box. It hard-codes the verified Z-Image graph
(UNETLoader + CLIPLoader lumina2 + ModelSamplingAuraFlow shift 3 + KSampler 8/cfg1/res_multistep/simple),
downloads the result, and saves it to a local path at exact pixel dimensions.
It runs alongside the existing @peleke.s/comfyui-mcp (which stays for SDXL/FLUX); tools are
namespaced mcp__zimage__*.
Tools
generate_image(prompt, output_path, size="square", width?, height?, seed?, steps?=8, negative?="", n?=1)
Generates and saves image(s).
output_path— local path, e.g../public/img/hero.png. Parent dirs are created. Format follows the extension (.png/.jpg/.jpeg/.webp).size— a preset (below), or pass exactwidth+height. Because Z-Image needs dimensions that are multiples of 16, any exact size is generated at the nearest valid size (≥ requested, matching aspect) then resize-cover + center-crop to your exact pixels.seed— omitted = random; echoed back in the result for reproducibility.n— 1–4 variants. Files get_1,_2, … suffixes; seeds arebase, base+1, ….- Returns
{ images, seed, gen_size, output_size, seconds }.
list_presets()
Returns the preset table (name → WxH).
health()
ComfyUI pre-flight: reachable, comfyui_version, gpu, vram_free_mb.
Size presets
| preset | output | use |
|---|---|---|
square |
1024×1024 | cards, avatars, icons |
landscape |
1216×832 | general content images |
portrait |
832×1216 | tall cards |
hero |
1280×720 | 16:9 hero/banner |
wide |
1536×640 | wide banner (12:5) |
og |
1200×630 | OpenGraph/social share |
mobile |
768×1344 | mobile-first portrait |
Z-Image is tuned around ~1 MP. Very large custom dimensions (>~1.3 MP) may reduce quality or slow down; for big hero art, generate at a preset and upscale separately (a 2K upscaler template exists on the box). Note: text-in-image is weak — use FLUX/Qwen for legible baked-in text.
Configuration (env vars)
| var | default |
|---|---|
COMFYUI_URL |
http://10.0.0.109:8188 |
ZIMAGE_UNET |
z_image_turbo_bf16.safetensors |
ZIMAGE_CLIP |
qwen_3_4b.safetensors |
ZIMAGE_VAE |
ae.safetensors |
ZIMAGE_DEFAULT_STEPS |
8 |
ZIMAGE_TIMEOUT_S |
180 |
Run / register
Requires uv. Add to ~/.claude.json under mcpServers:
"zimage": {
"type": "stdio",
"command": "uv",
"args": ["run", "--directory", "/Users/jaimie/projects/zimage-mcp", "server.py"],
"env": { "COMFYUI_URL": "http://10.0.0.109:8188" }
}
Restart Claude Code; the tools appear as mcp__zimage__generate_image, etc.
Develop / test
uv sync
uv run pytest -q # unit tests (no network)
ZIMAGE_TEST_LIVE=1 uv run pytest -q # + live tests against the box
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.