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 with superior capabilities using advanced AI technology through the fal.ai platform.

Features

• High-Quality Image Generation: Generate stunning images using the fal-ai/minimax/image-01 model
• Superior AI Capabilities: 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

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 description of the image to generate (max 1500 characters)
• 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): Enable prompt optimization for better results
• sync_mode (optional): Wait for completion (default: true)

Example:

{
  "prompt": "A futuristic cityscape with flying cars and neon lights",
  "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

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.

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 (when available)
• Generation parameters used
• Request IDs for tracking
• Seed values for reproducibility

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 Documentation
• fal.ai Client Library

Examples

Basic Text-to-Image Generation

{
  "prompt": "A majestic dragon soaring through clouds"
}

Landscape Image with Optimization

{
  "prompt": "A serene mountain landscape at sunset",
  "aspect_ratio": "16:9",
  "prompt_optimizer": true
}

Multiple Images Generation

{
  "prompt": "A cute cartoon cat in different poses",
  "aspect_ratio": "1:1",
  "num_images": 4
}

Portrait Format with Detailed Prompt

{
  "prompt": "A professional headshot of a confident businesswoman in a modern office setting, natural lighting, high resolution",
  "aspect_ratio": "2:3",
  "prompt_optimizer": true
}

Queue-based Generation with Webhook

{
  "prompt": "A detailed architectural visualization of a futuristic smart city with sustainable technology",
  "aspect_ratio": "21:9",
  "webhook_url": "https://your-server.com/webhook"
}

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
• Text-to-image generation with superior AI capabilities
• Support for multiple aspect ratios (1:1 to 21:9)
• Prompt optimization for enhanced results
• Queue management with webhook support
• Local image download functionality
• Support for generating up to 9 images per request
• Comprehensive error handling