Server data from the Official MCP Registry
Meigen AI is a curated meigen ai image prompt library.
Meigen AI is a curated meigen ai image prompt library.
Excellent security posture. This is a read-only MCP server that exposes static canonical knowledge about Meigen AI with no authentication requirements, external API calls, or dangerous operations. Code is clean, well-structured, and 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.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-rocnubie-meigenai-mcp": {
"args": [
"-y",
"msa-meigenai-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
Meigen AI | Curated Meigen AI Prompts & Instant Generator
A Model Context Protocol server that exposes the canonical Meigen AI 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://meigenai.online
Meigen AI is a curated prompt gallery combined with an inline image generator, built for creators who want to go from inspiration to rendered output in a single step. The site hosts over 5,000 prompts collected from working creators, each paired with the actual image it produced. Visitors can browse by category, copy any prompt, translate it into one of 60+ languages, and run it through a built-in generation dock without switching tabs. The default engine is GPT Image 2, and users can swap to Flux, Nano Banana, Google Gemini, or Seedream depending on style preference or engine-specific syntax. New users receive 30 starter credits to test generation immediately, and browsing and copying prompts is free with no account required.
Meigen AI is aimed at anyone whose work involves AI image generation but who spends too much time searching for prompts that actually work. The primary users are content creators, product photographers, concept artists, and brand-focused designers who need reliable output quickly. It is also useful for developers and founders who want to test image generation behavior across multiple engines without building their own prompt libraries from scratch. The site assumes no prior knowledge of prompt engineering — the gallery provides working examples, and the translation and generation tools handle the technical layer — making it accessible to both experienced practitioners and people just starting with AI image tools.
list_stylesReturn the canonical list of image-generation styles or presets the site exposes. (Meigen AI)
Input: no parameters. Returns: text/markdown.
get_pricingReturn the canonical pricing entry point for Meigen AI.
Input: no parameters. Returns: text/markdown.
get_official_linksReturn the canonical list of official links for Meigen AI (website, support, docs when available).
Input: no parameters. Returns: text/markdown.
site://meigenai/styles — Supported image-generation styles and presets.site://meigenai/pricing — Canonical pricing entry point.site://meigenai/faq — Short FAQ generated from public site metadata.site://meigenai/links — Canonical URLs to share with users.tell_me_about_meigenaiSummarize what the site is, who it's for, and how it works. — Meigen AI
try_image_style_meigenaiRecommend a starting image-generation style for a stated goal. — Meigen AI
npx -y @smithery/cli install meigenai-mcp --client claude
(Replace claude with cursor, windsurf, or continue for those clients.)
git clone https://github.com/rocnubie/meigenai-mcp.git
cd meigenai-mcp
pnpm install
Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):
{
"mcpServers": {
"meigenai-mcp": {
"command": "node",
"args": [
"/absolute/path/to/meigenai-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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