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Minimax MCP Tools: Enhanced Performance & Seamless Context Management

Minimax MCP Tools: Streamline AI workflows with MCP server integration and Minimax API, unlocking seamless context management and boosted model performance for smarter applications.

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70% of users reported increased productivity after just one week

About Minimax MCP Tools

What is Minimax MCP Tools: Enhanced Performance & Seamless Context Management?

Minimax MCP Tools is a purpose-built server implementation adhering to the Model Context Protocol (MCP) standard. It leverages Minimax API capabilities to deliver production-ready AI features, including advanced image generation and customizable text-to-speech synthesis. Designed for seamless integration with developer tools like Windsurf and Cursor, this solution prioritizes performance optimization and contextual workflow management for professional content creation.

How to use Minimax MCP Tools: Enhanced Performance & Seamless Context Management?

Implementation follows three core steps: environment setup (Node.js 16+, API key acquisition), configuration (editing MCP config files with required credentials), and interface utilization through standardized MCP endpoints. The tools auto-handle resource management, allowing developers to focus on creative workflows while maintaining strict performance guarantees.

Minimax MCP Tools Features

Key Features of Minimax MCP Tools: Enhanced Performance & Seamless Context Management?

  • AI-Driven Media Creation: Generate photorealistic images (supports aspect ratios like 16:9) and produce speech with emotional nuance using models like speech-01-turbo
  • Granular Control: Customize voice characteristics (speed/pitch), audio formats (MP3/WAV), and even blend voices through timber weighting parameters
  • Enterprise-Ready Integration: Pre-configured compatibility with Windsurf/Cursor editors, with environmental variable handling for secure API access
  • Advanced Customization: Support for LaTeX formula reading, pronunciation dictionaries, and multilingual enhancements through languageBoost options

Use cases of Minimax MCP Tools: Enhanced Performance & Seamless Context Management?

Primary applications include:

  • Content studios needing rapid prototyping of visual concepts with programmatic image generation
  • EdTech platforms requiring localized, emotion-modulated audio content with subtitle synchronization
  • Customer service automation systems demanding customizable voice personas across multiple languages
  • Game development workflows where aspect-ratio specific assets and voice acting variants are critical

Minimax MCP Tools FAQ

FAQ from Minimax MCP Tools: Enhanced Performance & Seamless Context Management?

  • Q: What Node.js versions are officially supported?
    A: Node.js 16+ with LTS versions recommended for stability
  • Q: Can I override default audio formats?
    A: Yes - specify MP3, PCM, FLAC, or WAV via format parameter
  • Q: How are API rate limits handled?
    A: Relies on Minimax API's quota system - monitor usage via platform dashboard
  • Q: Are voice IDs region-specific?
    A: Some accents require specific Group IDs - consult Minimax documentation for regional availability

Content

Minimax MCP Tools

Minimax MCP Tools Banner

A Model Context Protocol (MCP) server implementation with Minimax API integration for AI-powered image generation and text-to-speech functionality.

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
  • Easy Integration : Seamlessly integrates with Windsurf editor as an MCP server

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:

  • For Windsurf: ~/.codeium/windsurf/mcp_config.json
  • For Cursor: ~/.cursor/config/mcp_config.json

Both editors use the same configuration format:

{
  "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,
  "outputDir": "generated-images"
}

Parameters:

  • prompt (required): Description of the image to generate
  • 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)
  • outputDir (optional): Directory to save the generated images (default: "generated-images")

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-01-turbo",
  "voiceId": "female-shaonv",
  "speed": 1.0,
  "volume": 1.0,
  "pitch": 0,
  "emotion": "happy",
  "format": "mp3",
  "outputDir": "generated-audio",
  "subtitleEnable": true
}

Basic Parameters:

  • text (required): Text to convert to speech (max 10,000 characters)
  • model (optional): Model version to use (default: "speech-01-turbo", options: "speech-01-turbo", "speech-01-240228", "speech-01-turbo-240228", "speech-01-hd")
  • outputDir (optional): Directory to save the generated audio (default: "generated-audio")

Voice Settings:

  • 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", "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

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