Voice Generation MCP Server

# Voice Generation MCP Server A Model Context Protocol (MCP) server that provides voice generation capabilities using the Minimax AI API. This server converts text to speech and automatically uploads the generated audio files to Amazon S3 for easy access and sharing. ## Features - **Text-to-Speech Generation**: Convert text to high-quality speech using Minimax AI's voice synthesis API - **S3 Integration**: Automatically upload generated audio files to Amazon S3 with organized directory structure - **MCP Protocol Support**: Full compatibility with Model Context Protocol for seamless integration with AI assistants - **Authentication**: Built-in API key authentication for secure access - **Multiple Transport Modes**: Support for HTTP, SSE, and STDIO transport protocols - **Docker Support**: Easy deployment with Docker and Docker Compose - **Configurable Audio Settings**: Customizable sample rate, bitrate, and format options ## Prerequisites - Python 3.8 or higher - Minimax AI API credentials - Amazon S3 bucket and credentials - (Optional) Docker and Docker Compose for containerized deployment ## Installation ### Local Installation 1. **Clone the repository** ```bash git clone <repository-url> cd voice-gen-mcp ``` 2. **Create a virtual environment** ```bash python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate ``` 3. **Install dependencies** ```bash pip install -r requirements.txt ``` 4. **Configure environment variables** ```bash cp env.example .env # Edit .env with your actual configuration values ``` ### Docker Installation 1. **Build the Docker image** ```bash docker build -t voice-gen-mcp . ``` 2. **Run with Docker Compose** ```bash cp env.example .env # Edit .env with your configuration docker-compose up -d ``` ## Configuration ### Environment Variables Create a `.env` file based on `env.example` with the following required variables: #### Voice Generation API (Required) ```bash VOICE_GEN_API_GROUP_ID=your_minimax_group_id VOICE_GEN_API_KEY=your_minimax_api_key ``` #### S3 Configuration (Required) ```bash S3_BUCKET_NAME=your_s3_bucket_name S3_REGION=us-east-1 S3_ACCESS_KEY_ID=your_s3_access_key_id S3_SECRET_ACCESS_KEY=your_s3_secret_access_key S3_ENDPOINT=https://s3.amazonaws.com S3_PREFIX=voice-gen/ ``` ## Usage ### Starting the Server #### Local Development ```bash python3 server.py ``` #### Docker ```bash docker run -d \ --name voice-gen-mcp \ -p 8000:8000 \ --env-file .env \ voice-gen-mcp ``` #### Docker Compose ```bash docker-compose up -d ``` #### MCP Clients The server supports multiple transport modes: - **HTTP**: `http://localhost:8000/mcp` - **SSE**: `http://localhost:8000/sse` - **STDIO**: Direct process communication ### Available Tools #### `generate_voice` Converts text to speech and uploads to S3. **Parameters:** - `text` (string, required): The text to convert to speech - `model` (string, optional): Model to use (default: "speech-2.5-hd-preview") - `voice_id` (string, optional): Voice ID to use (default: "mylxsw_voice_1") - `speed` (float, optional): Speech speed (default: 1.0, typically 0.5-2.0) **Returns:** - Success message with S3 URL and file size - Error message if generation fails **Example:** ```json { "text": "Hello, this is a test of the voice generation system.", "model": "speech-2.5-hd-preview", "voice_id": "mylxsw_voice_1", "speed": 1.2 } ``` **Speed Control:** - `speed = 0.5`: Half speed (slower speech) - `speed = 1.0`: Normal speed (default) - `speed = 1.5`: 1.5x speed (faster speech) - `speed = 2.0`: Double speed (very fast speech) ## License [MIT License](LICENSE)