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sruckh
by sruckh

MCP Image Generator

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

Features

  • Generate high-quality images from text prompts

  • Support for multiple anime and artistic styles:

    • Ghibli Style

    • Pixar Style

    • Pokemon Style

    • Genshin Impact Style

    • Cyberpunk Style

    • One Piece Style

    • Attack on Titan Style

    • Shinkai Makoto Style

    • Sailor Moon Style

    • Evangelion Style

    • Disney Princess Style

    • Kyoto Animation Style

    • Dreamworks Animation Style

    • Marvel Studios Style

    • DC Comics Style

    • Kawaii Pastel Style

    • Simpsons Style

    • Dragon Ball Style

    • Demon Slayer Style

    • Warner Bros Animation Style

    • Dark Fantasy Style

    • And many more Japanese anime styles

  • Multiple image size options:

    • Square (512x512)

    • Square HD (1024x1024)

    • Portrait 4:3 (768x1024)

    • Portrait 16:9 (576x1024)

    • Landscape 4:3 (1024x768)

    • Landscape 16:9 (1024x576)

  • Generate multiple images in one request (up to 4)

  • Image upscaling (4x resolution enhancement)

  • Image search and replace functionality

  • Built-in NSFW content detection

Related MCP server: fal-mcp

Installation

  1. Clone the repository:

git clone [repository-url]
cd aiimagemultistyle
  1. Install dependencies:

npm install
  1. Configure environment variables: Create a .env file with the following content:

FALAI_API_KEY=your_fal_ai_key_here

Usage

MCP Server Configuration

To use the MCP Image Generator server, add it to your mcpServers configuration:

{
  "mcpServers": {
    "image-generator": {
      "command": "npx",
      "args": ["-y", "aiimagemultistyle"]
    }
  }
}

You can also specify additional configuration options:

{
  "mcpServers": {
    "image-generator": {
      "command": "npx",
      "args": [
        "-y",
        "aiimagemultistyle",
        "--mode=rest",
        "--port=9593",
        "--endpoint=/rest"
      ],
      "env": {
        "FALAI_API_KEY": "your_fal_ai_key_here"
      }
    }
  }
}

Starting the Server

The server can run in two modes:

  1. STDIO mode (default):

npm start
  1. REST mode:

npm start -- --mode=rest --port=9593 --endpoint=/rest

API Reference

Generate Image

Request Format:

{
  "name": "generate_image",
  "arguments": {
    "prompt": "A beautiful sunset over mountains",
    "style": "ghibli-style",
    "num_images": 1,
    "size": "square_hd"
  }
}

Parameters:

  • prompt (required): Text description of the image to generate

  • style (optional): Image style (default: "ghibli-style")

    • Available styles: See the Features section above for the complete list

  • num_images (optional): Number of images to generate (1-4, default: 1)

  • size (optional): Image size (default: "square_hd")

    • Available sizes: "square", "square_hd", "portrait_4_3", "portrait_16_9", "landscape_4_3", "landscape_16_9"

Upscale Image

Request Format:

{
  "name": "upscale_image",
  "arguments": {
    "image_url": "https://example.com/image.jpg"
  }
}

Parameters:

  • image_url (required): URL of the image to upscale

Search and Replace

Request Format:

{
  "name": "search-and-replace",
  "arguments": {
    "image_url": "https://example.com/image.jpg",
    "mask_url": "https://example.com/mask.jpg",
    "prompt": "Description of the replacement"
  }
}

Parameters:

  • image_url (required): URL of the image to edit

  • mask_url (required): URL of the mask image (black areas preserved, white areas inpainted)

  • prompt (required): Description of the replacement content

Development

  • npm run build: Build the project

  • npm run watch: Watch mode for development

  • npm run inspector: Run MCP inspector

Error Handling

The server provides detailed error messages for common issues:

  • Missing API key

  • Invalid prompt

  • Invalid style or size parameters

  • API request failures

  • NSFW content detection

License

MIT

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Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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