Server data from the Official MCP Registry
Z-Image is an online interface for the Z-Image generation model with fast inference and prompt
Z-Image is an online interface for the Z-Image generation model with fast inference and prompt
Excellent security posture. This is a read-only MCP server that exposes canonical Z-Image website knowledge (styles, pricing, links, FAQ) without requiring authentication, API keys, or making external network calls. Code is clean, well-structured, and has no dangerous patterns, credential handling issues, or permission scope concerns. Permissions are minimal and appropriate for the stated purpose. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity).
4 files analyzed · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-rocnubie-z-image-mcp": {
"args": [
"-y",
"msa-z-image-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
Z-Image - Z-Image AI Image Generator
A Model Context Protocol server that exposes the canonical Z-Image knowledge surface — image generation workflows and styles, pricing, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.
Official website: https://z-image.club
Z-Image (z-image.club) is a free online AI image generation and editing platform built around a 6-billion-parameter diffusion model. It lets users produce photorealistic images from text prompts, modify existing photos through guided editing, swap faces, remove backgrounds, and even convert still images into short videos — all through a browser-based interface that requires no local installation. For users who prefer running models locally, the weights are available on Hugging Face and ModelScope, with native ComfyUI workflow support and GGUF/FP8 quantized variants that fit on consumer GPUs with under 16 GB of VRAM.
Z-Image serves a broad range of users who need visual output without deep technical expertise or large budgets. Content creators and social media managers will find the web demo approachable, with one-click tools covering most common tasks. Graphic designers and art directors can use it for fast concept iteration, while e-commerce teams can cut product photography costs by generating studio-quality shots on demand. Developers and ML practitioners are catered to through open weights, ComfyUI compatibility, and multiple quantization options, making it practical to embed the model into existing pipelines. The combination of a free hosted interface and downloadable model weights means both beginners and experienced practitioners can find a workflow that fits their setup.
list_stylesReturn the canonical list of image-generation styles or presets the site exposes. (Z-Image)
Input: no parameters. Returns: text/markdown.
get_pricingReturn the canonical pricing entry point for Z-Image.
Input: no parameters. Returns: text/markdown.
get_official_linksReturn the canonical list of official links for Z-Image (website, support, docs when available).
Input: no parameters. Returns: text/markdown.
site://z-image/styles — Supported image-generation styles and presets.site://z-image/pricing — Canonical pricing entry point.site://z-image/faq — Short FAQ generated from public site metadata.site://z-image/links — Canonical URLs to share with users.tell_me_about_z_imageSummarize what the site is, who it's for, and how it works. — Z-Image
try_image_style_z_imageRecommend a starting image-generation style for a stated goal. — Z-Image
npx -y @smithery/cli install z-image-mcp --client claude
(Replace claude with cursor, windsurf, or continue for those clients.)
git clone https://github.com/rocnubie/z-image-mcp.git
cd z-image-mcp
pnpm install
Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):
{
"mcpServers": {
"z-image-mcp": {
"command": "node",
"args": [
"/absolute/path/to/z-image-mcp/src/index.mjs"
]
}
}
}
npx @modelcontextprotocol/inspector node src/index.mjs
pnpm install
pnpm start # run the server over stdio
MIT
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