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jau123/MeiGen-AI-Design-MCP

by Various

Supports GPT Image 2, Nanobanana & ComfyUI, with a 1,400+ prompt library, carefully crafted hooks and a multi-task orchestration system

J

MCP

jau123/MeiGen-AI-Design-MCP

Added 1 June 2026

#ai-image-generation #claude #claude-code #comfyui #lovart #mcp #mcp-server #model-context-protocol

Overview

An MCP server that integrates GPT Image 2, Nanobanana, and ComfyUI into a unified interface. It provides a 1,400+ prompt library, custom hooks, and a multi-task orchestration system for managing AI image generation workflows.

Best for

Best for
Developers building automated image generation pipelines with multiple AI backends

Use cases

  • Orchestrating multi-step image generation pipelines across different models
  • Accessing a curated library of prompts for rapid prototyping
  • Building custom hooks to extend or automate design workflows

How to use

Install

npx meigen init cursor      # Cursor

Tools exposed

  • search_gallery
  • get_inspiration
  • enhance_prompt
  • list_models
  • comfyui_workflow
  • manage_preferences
  • generate_image
  • generate_video
  • image-generator
  • prompt-crafter
  • gallery-researcher
  • MEIGEN_API_TOKEN
  • OPENAI_API_KEY
  • OPENAI_BASE_URL
  • OPENAI_MODEL
  • COMFYUI_URL
  • MEIGEN_OUTPUT_DIR
  • MEIGEN_VIDEO_OUTPUT_DIR
  • XDG_PICTURES_DIR
  • XDG_VIDEOS_DIR

Tested with

Claude Code, Cursor, Windsurf, VS Code, ChatGPT

Notes

An MCP server that integrates GPT Image 2, Nanobanana, and ComfyUI into a unified interface. It provides a 1,400+ prompt library, custom hooks, and a multi-task orchestration system for managing AI image generation workflows.

1,341 stars on GitHub. Last updated 2026-05-19. Licensed MIT.

Use cases

  • Orchestrating multi-step image generation pipelines across different models
  • Accessing a curated library of prompts for rapid prototyping
  • Building custom hooks to extend or automate design workflows

Pros

  • Large built-in prompt library saves time on prompt engineering
  • Supports multiple image generation backends in one tool
  • Multi-task orchestration enables complex, automated workflows

Cons

  • Dependency on third-party services (GPT Image 2, Nanobanana, ComfyUI) may introduce reliability issues
  • Limited to the specific models and tools integrated
  • Requires familiarity with MCP and TypeScript for customization

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Large built-in prompt library saves time on prompt engineering
  • Supports multiple image generation backends in one tool
  • Multi-task orchestration enables complex, automated workflows

Cons

  • Dependency on third-party services (GPT Image 2, Nanobanana, ComfyUI) may introduce reliability issues
  • Limited to the specific models and tools integrated
  • Requires familiarity with MCP and TypeScript for customization
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