Replicate Minimax Image-01 MCP Server

A Model Context Protocol (MCP) server that provides access to the minimax/image-01 image generation model via Replicate. This server allows you to generate high-quality images using advanced AI technology through the Replicate platform with the new file-based API.

Features

• High-Quality Image Generation: Generate stunning images using the minimax/image-01 model

• Multiple Generation Methods: Support for synchronous and asynchronous generation with prediction tracking

• Flexible Aspect Ratios: Support for 8 different aspect ratios including square, landscape, portrait, and ultrawide

• Multiple Image Generation: Generate 1-9 images per request

• Prompt Optimization: Built-in prompt optimization for better results

• Subject Reference Support: Optional character reference image (human face) for consistent character generation

• Local Image Download: Automatically downloads generated images to local storage in JPEG format

• Prediction Management: Create, track, and cancel predictions

• Webhook Support: Optional webhook notifications for completed requests

Installation

Option 1: Universal npx Installation (Recommended)

No local installation required! Use npx to run the server directly:

Option 2: Local Installation

1. Clone this repository:

2. Install dependencies:

3. Build the project:

Configuration

Environment Variables

Set your Replicate API token as an environment variable:

You can get your API token from Replicate.

MCP Client Configuration

Universal npx Configuration (Recommended)

Add this server to your MCP client configuration:

Local Installation Configuration

For local installations, use:

Available Tools

1. minimax_image_01_generate

Generate images using the standard synchronous method.

Parameters:

• prompt (required): Text prompt for image generation

• aspect_ratio (optional): Aspect ratio of the generated image (default: "1:1")

  • Options: "1:1", "16:9", "4:3", "3:2", "2:3", "3:4", "9:16", "21:9"

• number_of_images (optional): Number of images to generate, 1-9 (default: 1)

• prompt_optimizer (optional): Whether to optimize the prompt for better results (default: true)

• subject_reference (optional): URI string for character reference image (human face)

Example:

2. minimax_image_01_generate_async

Generate images using asynchronous method with prediction tracking.

Parameters: Same as minimax_image_01_generate plus:

• webhook (optional): URL for webhook notifications

• webhook_events_filter (optional): Events to send to webhook (default: ["completed"])

Returns: A prediction ID for tracking the job

3. minimax_image_01_get_prediction

Get the status and results of a prediction created with minimax_image_01_generate_async.

Parameters:

• prediction_id (required): The prediction ID from async generation

4. minimax_image_01_cancel_prediction

Cancel a running prediction to prevent unnecessary work and reduce costs.

Parameters:

• prediction_id (required): The prediction ID to cancel

Aspect Ratios

The minimax/image-01 model supports the following aspect ratios:

• 1:1 - Square (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/portrait

• 21:9 - Ultrawide landscape

Multiple Image Generation

You can generate between 1 and 9 images in a single request by setting the number_of_images parameter. Each image will be saved with a unique filename and index.

Prompt Optimization

The model includes built-in prompt optimization that can enhance your prompts for better results. This is enabled by default but can be disabled by setting prompt_optimizer to false.

Subject Reference

For consistent character generation across multiple images, you can provide a subject_reference URI pointing to a character reference image (human face) that the model will use as a reference for maintaining character consistency.

Output

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

• Local file paths

• Original URLs

• Image filenames

• Generation parameters used

• Prediction IDs for tracking

Error Handling

The server provides detailed error messages for:

• Missing API tokens

• Invalid parameters

• Network issues

• API rate limits

• Generation failures

Development

Running in Development Mode

Testing the Server

Getting the Installation Path

API Reference

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

• Replicate Minimax Image-01

• Replicate API Documentation

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 Replicate documentation

Changelog

v2.0.0

• BREAKING CHANGE: Complete migration from recraft-ai/recraft-v3 to minimax/image-01

• Updated all tool names from recraft_v3_* to minimax_image_01_*

• NEW: Updated to use the new file-based API structure for better performance

• New parameter schema supporting minimax/image-01 features:

  • 8 aspect ratio options (1:1, 16:9, 4:3, 3:2, 2:3, 3:4, 9:16, 21:9)

  • Multiple image generation (1-9 images per request)

  • Built-in prompt optimization

  • Character reference image support for consistent character generation

• Updated filename generation with minimax_image_01 prefix

• Images now saved in JPEG format instead of WebP

• Comprehensive documentation updates

• Maintained all existing architectural patterns and error handling

v1.0.0

• Initial release with recraft-ai/recraft-v3 integration

• Support for synchronous and asynchronous generation

• Prediction tracking and management

• Multiple size and aspect ratio options

• Comprehensive style control options

• Local image download functionality in WebP format

• Comprehensive error handling