
minimax-mcp-tools
Model Context Protocol (MCP) server implementation with Minimax API integration
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Minimax MCP Tools
A Model Context Protocol (MCP) server implementation with Minimax API integration for AI-powered image generation and text-to-speech functionality.
English | 简体中文
Features
- Image Generation: Generate high-quality images based on text prompts using Minimax's image-01 model
- Text-to-Speech (TTS): Convert text to natural-sounding speech with various voice options, emotions, and audio formats
Setup
Prerequisites
- Node.js 16 or higher
- A Minimax API key (obtain from Minimax Platform)
- Minimax Group ID for TTS functionality
Configuration
Create or update your MCP configuration file:
{
"mcpServers": {
"minimax-mcp-tools": {
"command": "npx",
"args": [
"minimax-mcp-tools"
],
"env": {
"MINIMAX_API_KEY": "your-minimax-api-key",
"MINIMAX_GROUP_ID": "your-minimax-group-id"
}
}
}
}
MCP Interface
Image Generation
Generate images based on text prompts:
// Example parameters for image generation
{
"prompt": "A mountain landscape at sunset",
"aspectRatio": "16:9",
"n": 1,
"outputFile": "/absolute/path/to/image.jpg",
"subjectReference": "/path/to/reference.jpg" // Optional: local file or URL
}
Parameters:
-
prompt
(required): Description of the image to generate -
outputFile
(required): Absolute path to save the generated image file. The directory must already exist. When generating multiple images (n>1), files will be named with sequential numbers (e.g., 'image-1.jpg', 'image-2.jpg'). -
aspectRatio
(optional): Aspect ratio of the image (default: "1:1", options: "1:1", "16:9", "4:3", "3:2", "2:3", "3:4", "9:16", "21:9") -
n
(optional): Number of images to generate (default: 1, range: 1-9). When n>1, the output filenames will be automatically numbered. -
subjectReference
(optional): Path to a local image file or a public URL for character reference. When provided, the generated image will use this as a reference for character appearance. Supported formats: JPG, JPEG, PNG
Text-to-Speech
Convert text to speech with various customization options:
// Example parameters for text-to-speech
{
"text": "Hello, this is a test of the text-to-speech functionality.",
"model": "speech-02-hd",
"voiceId": "female-shaonv",
"speed": 1.0,
"volume": 1.0,
"pitch": 0,
"emotion": "happy",
"format": "mp3",
"outputFile": "/absolute/path/to/audio.mp3",
"subtitleEnable": true
}
Basic Parameters:
-
text
(required): Text to convert to speech (max 10,000 characters) -
outputFile
(required): Absolute path to save the generated audio file -
model
(optional): Model version to use (default: "speech-02-hd", options: "speech-02-hd", "speech-02-turbo")-
speech-02-hd
: High-definition model with excellent timbre similarity, rhythm stability, and studio-grade audio quality -
speech-02-turbo
: Fast model with excellent performance and low latency, enhanced multilingual capabilities
-
-
voiceId
(optional): Voice ID to use (default: "male-qn-qingse") -
speed
(optional): Speech speed (default: 1.0, range: 0.5-2.0) -
volume
(optional): Speech volume (default: 1.0, range: 0.1-10.0) -
pitch
(optional): Speech pitch (default: 0, range: -12 to 12) -
emotion
(optional): Emotion of the speech (default: "neutral", options: "happy", "sad", "angry", "fearful", "disgusted", "surprised", "neutral") -
timberWeights
(optional): Voice mixing settings, allows mixing up to 4 different voices with weights"timberWeights": [ { "voice_id": "male-qn-qingse", "weight": 70 }, { "voice_id": "female-shaonv", "weight": 30 } ]
Audio Settings:
-
format
(optional): Audio format (default: "mp3", options: "mp3", "pcm", "flac", "wav") -
sampleRate
(optional): Sample rate in Hz (default: 32000, options: 8000, 16000, 22050, 24000, 32000, 44100) -
bitrate
(optional): Bitrate for MP3 format (default: 128000, options: 32000, 64000, 128000, 256000) -
channel
(optional): Number of audio channels (default: 1, options: 1=mono, 2=stereo)
Advanced Features:
-
latexRead
(optional): Whether to read LaTeX formulas (default: false) -
pronunciationDict
(optional): List of pronunciation replacements"pronunciationDict": ["处理/(chu3)(li3)", "危险/dangerous"]
-
stream
(optional): Whether to use streaming mode (default: false) -
languageBoost
(optional): Enhance recognition of specific languages- Options: "Chinese", "Chinese,Yue", "English", "Arabic", "Russian", "Spanish", "French", "Portuguese", "German", "Turkish", "Dutch", "Ukrainian", "Vietnamese", "Indonesian", "Japanese", "Italian", "Korean", "Thai", "Polish", "Romanian", "Greek", "Czech", "Finnish", "Hindi", "auto"
-
subtitleEnable
(optional): Whether to enable subtitle generation (default: false)
License
MIT
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Acknowledgements
- Minimax API for providing the AI models
- Model Context Protocol for the MCP specification
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Reviews

user_HX820RQe
As a dedicated user of minimax-mcp-tools, I can confidently say this tool has significantly streamlined my projects. PsychArch did an incredible job with its intuitive design and functionality. The tools are robust and user-friendly, making complex tasks much easier. I highly recommend it for anyone looking to maximize productivity and efficiency in their workflow. Check it out at the official GitHub page: https://github.com/PsychArch/minimax-mcp-tools.