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Meigenai MCP Server

by Rocnubie
Developer ToolsModerate7.2MCP RegistryLocal
Free

Server data from the Official MCP Registry

Meigen AI is a curated meigen ai image prompt library.

About

Meigen AI is a curated meigen ai image prompt library.

Security Report

7.2
Moderate7.2Low Risk

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.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-rocnubie-meigenai-mcp": {
      "args": [
        "-y",
        "msa-meigenai-mcp"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Meigen AI MCP Server

Meigen AI | Curated Meigen AI Prompts & Instant Generator

MCP Badge License: MIT Node Zero Config MCP smithery Read Only

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

🎨 About Meigen AI

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.

Key Features

  • 5,000+ curated prompts with rendered previews — every entry shows the literal prompt text alongside the image it produced, so users see the output before committing to a run.
  • One-tap in-page generation — a persistent generator dock lets users run, tweak, and re-run prompts without leaving the gallery page.
  • Multi-engine support — GPT Image 2, Flux, Nano Banana, Google Gemini, and Seedream are all available; prompts are tagged with the engine they were authored for.
  • 60+ language translation — prompt translation preserves technical parameters such as aspect ratios, style tokens, and trigger words rather than doing a plain text translation.
  • 20+ category filters — Portrait, Cinematic, 3D, Product, Cyberpunk, and more, with a sticky category navigation bar for fast browsing.
  • Weekly trending updates — new prompts are sourced from X, Reddit, Xiaohongshu, and Discord, keeping the library current with what creators are actually shipping.

Use Cases

  • A product photographer searches the "Product" category, finds a studio-lighting prompt that matches a client brief, translates it to adjust locale-specific style tokens, and generates a test render in under two minutes.
  • A concept artist browsing the "Cyberpunk" filter copies five prompts, runs them through Flux for its color grading, and compares outputs side by side to pick a direction before opening their main tool.
  • A brand director who does not write prompts natively uses the gallery as a starting library, copying and lightly editing prompts rather than building from scratch.
  • A developer building a prompt-dependent feature uses the site to validate which phrasing patterns produce consistent outputs across engines before hardcoding anything.
  • An illustrator tracks weekly trending prompts to stay aware of emerging aesthetics without spending time on social media research themselves.

Who Is It For

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.

Tools

list_styles

Return the canonical list of image-generation styles or presets the site exposes. (Meigen AI)

Input: no parameters. Returns: text/markdown.

get_pricing

Return the canonical pricing entry point for Meigen AI.

Input: no parameters. Returns: text/markdown.

get_official_links

Return the canonical list of official links for Meigen AI (website, support, docs when available).

Input: no parameters. Returns: text/markdown.

Resources

  • 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.

Prompts

tell_me_about_meigenai

Summarize what the site is, who it's for, and how it works. — Meigen AI

try_image_style_meigenai

Recommend a starting image-generation style for a stated goal. — Meigen AI

Installation

Install via Smithery

npx -y @smithery/cli install meigenai-mcp --client claude

(Replace claude with cursor, windsurf, or continue for those clients.)

Install from source

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"
      ]
    }
  }
}

Debug with MCP Inspector

npx @modelcontextprotocol/inspector node src/index.mjs

Official Links

  • Website: https://meigenai.online
  • Pricing: https://meigenai.online/pricing
  • Community: https://x.com/meigenai
  • Support: support@meigenai.online

Development

pnpm install
pnpm start                 # run the server over stdio

License

MIT

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Links

Source CodeDocumentation

Details

Published May 22, 2026
Version 0.1.0
0 installs
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