fal-ai/minimax/image-01 MCP Server

A Model Context Protocol (MCP) server that provides access to the fal-ai/minimax/image-01 image generation model. This server allows you to generate high-quality images using MiniMax (Hailuo AI) Text to Image technology through the fal.ai platform.

Features

• High-Quality Image Generation: Generate stunning images using the fal-ai/minimax/image-01 model
• MiniMax (Hailuo AI) Technology: Advanced text-to-image generation with excellent quality
• Multiple Generation Methods: Support for synchronous and queue-based generation
• Flexible Aspect Ratios: Support for various aspect ratios from square to panoramic
• Prompt Optimization: Optional prompt enhancement for better results
• Local Image Download: Automatically downloads generated images to local storage
• Queue Management: Submit long-running requests and check their status
• Webhook Support: Optional webhook notifications for completed requests
• Stylized and Realistic Output: Supports both stylized and photorealistic image generation

Installation

1. Clone this repository:

git clone https://github.com/PierrunoYT/fal-minimax-image-01-mcp-server.git
cd fal-minimax-image-01-mcp-server

2. Install dependencies:

npm install

3. Build the project:

npm run build

Configuration

Environment Variables

Set your fal.ai API key as an environment variable:

export FAL_KEY="your_fal_api_key_here"

You can get your API key from fal.ai.

MCP Client Configuration

Add this server to your MCP client configuration. For example, in Claude Desktop's config file:

{
  "mcpServers": {
    "fal-minimax-image-01": {
      "command": "npx",
      "args": ["-y", "https://github.com/PierrunoYT/fal-minimax-image-01-mcp-server.git"],
      "env": {
        "FAL_KEY": "your_fal_api_key_here"
      }
    }
  }
}

If the package is published to npm, you can use:

{
  "mcpServers": {
    "fal-minimax-image-01": {
      "command": "npx",
      "args": ["fal-minimax-image-01-mcp-server"],
      "env": {
        "FAL_KEY": "your_fal_api_key_here"
      }
    }
  }
}

Alternatively, if you've cloned the repository locally:

{
  "mcpServers": {
    "fal-minimax-image-01": {
      "command": "node",
      "args": ["/path/to/fal-minimax-image-01-mcp-server/build/index.js"],
      "env": {
        "FAL_KEY": "your_fal_api_key_here"
      }
    }
  }
}

Available Tools

1. minimax_generate

Generate images using the standard synchronous method.

Parameters:

• prompt (required): Text prompt for image generation (max 1500 characters). Longer text prompts will result in better quality images.
• aspect_ratio (optional): Aspect ratio of the generated image (default: "1:1")
• num_images (optional): Number of images to generate (1-9, default: 1)
• prompt_optimizer (optional): Whether to enable automatic prompt optimization (default: false)

Example:

{
  "prompt": "Man dressed in white t shirt, full-body stand front view image, outdoor, Venice beach sign, full-body image, Los Angeles, Fashion photography of 90s, documentary, Film grain, photorealistic",
  "aspect_ratio": "16:9",
  "num_images": 2,
  "prompt_optimizer": true
}

2. minimax_generate_queue

Submit a long-running image generation request to the queue.

Parameters: Same as minimax_generate plus:

• webhook_url (optional): URL for webhook notifications

Returns: A request ID for tracking the job

3. minimax_queue_status

Check the status of a queued request.

Parameters:

• request_id (required): The request ID from queue submission
• logs (optional): Include logs in response (default: true)

4. minimax_queue_result

Get the result of a completed queued request.

Parameters:

• request_id (required): The request ID from queue submission

API Information

• Endpoint: https://fal.run/fal-ai/minimax/image-01
• Model ID: fal-ai/minimax/image-01
• Category: text-to-image
• Kind: inference
• Tags: stylized, realism

Aspect Ratios

The MiniMax model supports the following aspect ratios:

• 1:1: Square format (default)
• 16:9: Widescreen landscape
• 4:3: Standard landscape
• 3:2: Classic photo landscape
• 2:3: Classic photo portrait
• 3:4: Standard portrait
• 9:16: Vertical/mobile format
• 21:9: Ultra-wide panoramic

Example:

{
  "aspect_ratio": "16:9"
}

Prompt Optimization

Enable prompt optimization to enhance your text prompts for better results:

{
  "prompt_optimizer": true
}

When enabled, the AI will automatically improve your prompt to generate higher quality images. This is disabled by default.

Output

Generated images are automatically downloaded to a local images/ directory with descriptive filenames. The response includes:

• Local file paths
• Original URLs
• Image dimensions (when available)
• Content types
• File sizes
• Generation parameters used
• Request IDs for tracking

Error Handling

The server provides detailed error messages for:

• Missing API keys
• Invalid parameters
• Network issues
• API rate limits
• Generation failures
• Prompt length violations (max 1500 characters)

Development

Running in Development Mode

npm run dev

Testing the Server

npm test

Getting the Installation Path

npm run get-path

API Reference

This server implements the fal-ai/minimax/image-01 API. For detailed API documentation, visit:

• fal.ai Model Playground
• fal.ai API Documentation
• fal.ai Client Library

Examples

Basic Text-to-Image Generation

{
  "prompt": "A majestic dragon soaring through clouds, fantasy art style, detailed scales, dramatic lighting"
}

Photorealistic Portrait

{
  "prompt": "Man dressed in white t shirt, full-body stand front view image, outdoor, Venice beach sign, full-body image, Los Angeles, Fashion photography of 90s, documentary, Film grain, photorealistic",
  "aspect_ratio": "2:3",
  "prompt_optimizer": true
}

Landscape Image with Optimization

{
  "prompt": "A serene mountain landscape at sunset, golden hour lighting, misty valleys, snow-capped peaks, cinematic composition, high resolution nature photography",
  "aspect_ratio": "16:9",
  "prompt_optimizer": true
}

Multiple Images Generation

{
  "prompt": "A cute cartoon cat in different poses, kawaii style, pastel colors, chibi art, adorable expressions",
  "aspect_ratio": "1:1",
  "num_images": 4
}

Ultra-wide Panoramic Scene

{
  "prompt": "A detailed architectural visualization of a futuristic smart city with sustainable technology, flying vehicles, green buildings, advanced infrastructure, panoramic view",
  "aspect_ratio": "21:9",
  "prompt_optimizer": true
}

Queue-based Generation with Webhook

{
  "prompt": "Epic fantasy battle scene with dragons and knights, medieval castle in background, dramatic sky, detailed armor and weapons, cinematic lighting, high fantasy art",
  "aspect_ratio": "16:9",
  "num_images": 3,
  "webhook_url": "https://your-server.com/webhook"
}

Tips for Better Results

1. Use Detailed Prompts: Longer, more descriptive prompts generally produce better quality images
2. Enable Prompt Optimization: Use prompt_optimizer: true for enhanced results
3. Choose Appropriate Aspect Ratios: Match the aspect ratio to your intended use case
4. Be Specific: Include details about style, lighting, composition, and quality level
5. Use Style Keywords: Terms like "photorealistic", "cinematic", "detailed", "high resolution" can improve output

License

MIT License - see LICENSE file for details.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

Support

For issues and questions:

• Open an issue on GitHub
• Check the fal.ai documentation

Changelog

v1.0.0

• Initial release with fal-ai/minimax/image-01 API support
• MiniMax (Hailuo AI) Text to Image generation with superior capabilities
• Support for multiple aspect ratios (1:1 to 21:9)
• Prompt optimization for enhanced results (disabled by default)
• Queue management with webhook support
• Local image download functionality
• Support for generating up to 9 images per request
• Comprehensive error handling
• Updated API schema matching latest fal.ai specifications