TTS
tts-mcp
A Model Context Protocol (MCP) server and command-line tool for high-quality text-to-speech generation using the OpenAI TTS API.
Main Features
- MCP Server: Integrate text-to-speech capabilities with Claude Desktop and other MCP-compatible clients
- Voice Options: Support for multiple voice characters (alloy, nova, echo, etc.)
- High-Quality Audio: Support for various output formats (MP3, WAV, OPUS, AAC)
- Customizable: Configure speech speed, voice character, and additional instructions
- CLI Tool: Also available as a command-line utility for direct text-to-speech conversion
Installation
Method 1: Install from Repository
## Clone the repository
git clone https://github.com/nakamurau1/tts-mcp.git
cd tts-mcp
## Install dependencies
npm install
## Optional: Install globally
npm install -g .
Method 2: Run Directly with npx (No Installation Required)
## Start the MCP server directly
npx tts-mcp tts-mcp-server --voice nova --model tts-1-hd
## Use the CLI tool directly
npx tts-mcp -t "Hello, world" -o hello.mp3
MCP Server Usage
The MCP server allows you to integrate text-to-speech functionality with Model Context Protocol (MCP) compatible clients like Claude Desktop.
Starting the MCP Server
## Start with default settings
npm run server
## Start with custom settings
npm run server -- --voice nova --model tts-1-hd
## Or directly with API key
node bin/tts-mcp-server.js --voice echo --api-key your-openai-api-key
MCP Server Options
Options:
-V, --version Display version information
-m, --model <model> TTS model to use (default: "gpt-4o-mini-tts")
-v, --voice <voice> Voice character (default: "alloy")
-f, --format <format> Audio format (default: "mp3")
--api-key <key> OpenAI API key (can also be set via environment variable)
-h, --help Display help information
Integrating with MCP Clients
The MCP server can be used with Claude Desktop and other MCP-compatible clients. For Claude Desktop integration:
- Open the Claude Desktop configuration file (typically at
~/Library/Application Support/Claude/claude_desktop_config.json
) - Add the following configuration, including your OpenAI API key:
{
"mcpServers": {
"tts-mcp": {
"command": "node",
"args": ["full/path/to/bin/tts-mcp-server.js", "--voice", "nova", "--api-key", "your-openai-api-key"],
"env": {
"OPENAI_API_KEY": "your-openai-api-key"
}
}
}
}
Alternatively, you can use npx for easier setup:
{
"mcpServers": {
"tts-mcp": {
"command": "npx",
"args": ["-p", "tts-mcp", "tts-mcp-server", "--voice", "nova", "--model", "gpt-4o-mini-tts"],
"env": {
"OPENAI_API_KEY": "your-openai-api-key"
}
}
}
}
You can provide the API key in two ways:
- Direct method (recommended for testing): Include it in the
args
array using the--api-key
parameter - Environment variable method (more secure): Set it in the
env
object as shown above
Security Note: Make sure to secure your configuration file when including API keys.
- Restart Claude Desktop
- When you ask Claude to "read this text aloud" or similar requests, the text will be converted to speech
Available MCP Tools
- text-to-speech: Tool for converting text to speech and playing it
CLI Tool Usage
You can also use tts-mcp as a standalone command-line tool:
## Convert text directly
tts-mcp -t "Hello, world" -o hello.mp3
## Convert from a text file
tts-mcp -f speech.txt -o speech.mp3
## Specify custom voice
tts-mcp -t "Welcome to the future" -o welcome.mp3 -v nova
CLI Tool Options
Options:
-V, --version Display version information
-t, --text <text> Text to convert
-f, --file <path> Path to input text file
-o, --output <path> Path to output audio file (required)
-m, --model <n> Model to use (default: "gpt-4o-mini-tts")
-v, --voice <n> Voice character (default: "alloy")
-s, --speed <number> Speech speed (0.25-4.0) (default: 1)
--format <format> Output format (default: "mp3")
-i, --instructions <text> Additional instructions for speech generation
--api-key <key> OpenAI API key (can also be set via environment variable)
-h, --help Display help information
Supported Voices
The following voice characters are supported:
- alloy (default)
- ash
- coral
- echo
- fable
- onyx
- nova
- sage
- shimmer
Supported Models
- tts-1
- tts-1-hd
- gpt-4o-mini-tts (default)
Output Formats
The following output formats are supported:
- mp3 (default)
- opus
- aac
- flac
- wav
- pcm
Environment Variables
You can also configure the tool using system environment variables:
OPENAI_API_KEY=your-api-key-here
License
MIT