minimax-tts-mcp

minimax-tts-mcp

A lightweight MCP server that converts text to speech using MiniMax TTS API, exposing a generate_speech tool for AI to speak with customizable emotion, speed, and language.

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README

minimax-tts-mcp

A lightweight MCP (Model Context Protocol) server that gives AI the ability to speak. Text in, audio URL out.

Built with Flask + MiniMax TTS API.

What it does

  • Exposes a generate_speech tool via MCP protocol
  • AI sends text → server calls MiniMax TTS → returns a playable mp3 URL
  • Supports emotion control, speed adjustment, and language selection (Cantonese, Mandarin, etc.)

Quick Start

1. Clone & install

git clone https://github.com/YOUR_USERNAME/minimax-tts-mcp.git
cd minimax-tts-mcp
pip install -r requirements.txt

2. Configure

cp .env.example .env
# Edit .env with your MiniMax API key and voice ID

Get your API key and voice ID from MiniMax Platform.

3. Run

python server.py

Server starts at http://localhost:5000.

Endpoints

Endpoint Method Description
/mcp POST MCP protocol endpoint for AI tool calls
/tts POST Direct TTS — post JSON, get mp3 file
/audio/<filename> GET Serve generated audio files
/health GET Health check

MCP Integration

Add to your MCP client config:

{
  "mcpServers": {
    "tts": {
      "url": "http://localhost:5000/mcp"
    }
  }
}

The server exposes one tool:

generate_speech

Parameter Type Required Description
text string yes Text to speak
emotion string no neutral, happy, sad, angry, fearful, surprised, disgusted
speed number no 0.5 - 2.0 (default 0.9)
language string no e.g. "Chinese,Yue" for Cantonese

Direct TTS Usage

curl -X POST http://localhost:5000/tts \
  -H "Content-Type: application/json" \
  -d '{"text": "Hello world", "speed": 1.0}' \
  --output speech.mp3

Deploy

Works anywhere that runs Python — a VPS, cloud VM, or container. For public access, put it behind a reverse proxy (nginx/caddy) with HTTPS.

Example with systemd:

# /etc/systemd/system/tts-mcp.service
[Unit]
Description=MiniMax TTS MCP Server

[Service]
WorkingDirectory=/path/to/minimax-tts-mcp
EnvironmentFile=/path/to/minimax-tts-mcp/.env
ExecStart=/usr/bin/python3 server.py
Restart=always

[Install]
WantedBy=multi-user.target

Notes

  • Generated audio files are stored in /tmp and not auto-cleaned. For production, add a cron job or cleanup logic.
  • MiniMax API is a paid service. Check their pricing for TTS usage.
  • Voice cloning requires setting up a custom voice on MiniMax platform first.

License

MIT

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