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by jau123 • Uncategorized
An MCP server that empowers LLMs with creative image generation and design capabilities using local ComfyUI or cloud APIs.
Generate high-quality images using local or cloud-based AI models.
Enhance creative workflows with professional prompt engineering and parallel image generation.
Manage and utilize curated prompt libraries and reference images efficiently.
MeiGen AI Design MCP is an open-source MCP server plugin that integrates with local ComfyUI or cloud-based image generation APIs to enable large language models to perform complex design tasks. It offers over 1,500 curated prompt templates, parallel batch generation, and specialized sub-agents for efficient image creation workflows. The server supports multiple providers, including local GPU-based generation, MeiGen Cloud, and any OpenAI-compatible API, ensuring flexibility and privacy. It is designed to enhance AI agents with professional-level creative and aesthetic capabilities.
Transform a simple idea into a professional image generation prompt. Use when the user provides a brief description (e.g., "a cat in a garden") and needs a detailed, high-quality prompt. Combine with gallery inspiration for best results. Free, no API key needed.
Search AI image prompts with semantic understanding — finds visually and conceptually similar results, not just keyword matches. Results include image URLs — render them as markdown images () so users can visually browse and pick styles. Use when users need inspiration, want to explore styles, or say "generate an image" without a specific idea.
List available AI image generation models with pricing and capabilities.
Get the full prompt and all image URLs for a gallery entry. Show the images to the user as visual examples. The prompt can be used directly with generate_image(), and image URLs can be passed as referenceImages for style transfer.
Read or update user preferences: default style, aspect ratio, model, style notes, and favorite prompts. Call with action "get" at conversation start to load preferences.
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