The Minimax MCP Tools server provides AI-powered capabilities through the Model Context Protocol:

• Image Generation: Create high-quality images from text prompts with customizable aspect ratio, number of images, and subject reference images for character consistency.

• Text-to-Speech: Convert text to natural-sounding speech with extensive customization options including voice selection, emotion, speed, volume, pitch, and audio format settings (sample rate, bitrate, channels).

• Advanced Features: Utilize voice mixing (timber weights), LaTeX reading, pronunciation dictionaries, streaming mode, language boosting for improved accuracy, and subtitle generation for accessibility.

• Integration: Works seamlessly with Windsurf and Cursor editors via MCP server configuration.

Supports reading LaTeX formulas in text-to-speech functionality with configurable options for pronunciation.

Required as a runtime environment for the MCP server with version 16 or higher needed as a prerequisite.

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Minimax MCP Tools generate an image of a futuristic city skyline at sunset"

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.

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

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

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