Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@fal-minimax-image-01 MCP Servercreate a photorealistic sunset over mountains in 16:9 aspect ratio"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Clone this repository:
git clone https://github.com/PierrunoYT/fal-minimax-image-01-mcp-server.git
cd fal-minimax-image-01-mcp-serverInstall dependencies:
npm installBuild the project:
npm run buildConfiguration
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 submissionlogs(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-01Model ID:
fal-ai/minimax/image-01Category: 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 landscape4:3: Standard landscape3:2: Classic photo landscape2:3: Classic photo portrait3:4: Standard portrait9:16: Vertical/mobile format21:9: 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 devTesting the Server
npm testGetting the Installation Path
npm run get-pathAPI Reference
This server implements the fal-ai/minimax/image-01 API. For detailed API documentation, visit:
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
Use Detailed Prompts: Longer, more descriptive prompts generally produce better quality images
Enable Prompt Optimization: Use
prompt_optimizer: truefor enhanced resultsChoose Appropriate Aspect Ratios: Match the aspect ratio to your intended use case
Be Specific: Include details about style, lighting, composition, and quality level
Use Style Keywords: Terms like "photorealistic", "cinematic", "detailed", "high resolution" can improve output
License
MIT License - see LICENSE file for details.
Contributing
Fork the repository
Create a feature branch
Make your changes
Add tests if applicable
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