Minimax MCP Tools

A Model Context Protocol (MCP) server for Minimax AI integration, providing async image generation and text-to-speech with advanced rate limiting and error handling.

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MCP Configuration

Add to your MCP settings:

{
  "mcpServers": {
    "minimax-mcp-tools": {
      "command": "npx",
      "args": ["minimax-mcp-tools"],
      "env": {
        "MINIMAX_API_KEY": "your_api_key_here"
      }
    }
  }
}

Async Design - Perfect for Content Production at Scale

This MCP server uses an asynchronous submit-and-barrier pattern designed for batch content creation:

🎬 Narrated Slideshow Production - Generate dozens of slide images and corresponding narration in parallel
📚 AI-Driven Audiobook Creation - Produce chapters with multiple voice characters simultaneously
🖼️ Website Asset Generation - Create consistent visual content and audio elements for web projects
🎯 Multimedia Content Pipelines - Perfect for LLM-driven content workflows requiring both visuals and audio

Architecture Benefits:

1. Submit Phase: Tools return immediately with task IDs, tasks execute in background
2. Smart Rate Limiting: Adaptive rate limiting (10 RPM images, 20 RPM speech) with burst capacity
3. Barrier Synchronization: task_barrier waits for all tasks and returns comprehensive results
4. Batch Optimization: Submit multiple tasks to saturate rate limits, then barrier once for maximum throughput

Tools

submit_image_generation

Submit Image Generation Task - Generate images asynchronously.

Required: prompt, outputFile
Optional: aspectRatio, customSize, seed, subjectReference, style

submit_speech_generation

Submit Speech Generation Task - Convert text to speech asynchronously.

Required: text, outputFile
Optional: highQuality, voiceId, speed, volume, pitch, emotion, format, sampleRate, bitrate, languageBoost, intensity, timbre, sound_effects

task_barrier

Wait for Task Completion - Wait for ALL submitted tasks to complete and retrieve results. Essential for batch processing.

Architecture

sequenceDiagram
    participant User
    participant MCP as MCP Server
    participant TM as Task Manager
    participant API as Minimax API

    Note over User, API: Async Submit-and-Barrier Pattern

    User->>MCP: submit_image_generation(prompt1)
    MCP->>TM: submitImageTask()
    TM-->>MCP: taskId: img-001
    MCP-->>User: "Task img-001 submitted"
    
    par Background Execution (Rate Limited)
        TM->>API: POST /image/generate
        API-->>TM: image data + save file
    end

    User->>MCP: submit_speech_generation(text1)
    MCP->>TM: submitTTSTask()
    TM-->>MCP: taskId: tts-002
    MCP-->>User: "Task tts-002 submitted"
    
    par Background Execution (Rate Limited)
        TM->>API: POST /speech/generate
        API-->>TM: audio data + save file
    end

    User->>MCP: submit_image_generation(prompt2)
    MCP->>TM: submitImageTask()
    TM-->>MCP: taskId: img-003
    MCP-->>User: "Task img-003 submitted"

    par Background Execution (Rate Limited)
        TM->>API: POST /image/generate (queued)
        API-->>TM: image data + save file
    end

    User->>MCP: task_barrier()
    MCP->>TM: barrier()
    TM->>TM: wait for all tasks
    TM-->>MCP: results summary
    MCP-->>User: ✅ All tasks completed<br/>Files available at specified paths

    Note over User, API: Immediate Task Submission + Background Rate-Limited Execution

License

MIT