Text-to-Speech MCP
High-quality text-to-speech generation using the OpenAI TTS API.
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
argsarray using the--api-keyparameter - Environment variable method (more secure): Set it in the
envobject 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
Похожие серверы
Digital Samba Embedded API MCP Server
Interact with the Digital Samba Embedded API for video conferencing features like room management, analytics, recording, and live session control.
Local Network Request MCP Server
Sends HTTP requests to endpoints on the local network.
MCP IDE Bridge
An open-source messaging server for client-to-client communication using MCP HTTP streaming, configurable via an external JSON file.
Twist MCP Server
Interact with a Twist workspace using its REST API.
AgentNet
Agent-to-agent referral network where AI agents discover each other, cross-refer users, and earn credits. Available as MCP server and HTTP API.
Zoom MCP Server
Schedule and manage Zoom meetings with AI assistance. Requires Zoom API credentials for configuration.
SendGrid
Access SendGrid's Marketing API for email marketing and contact management.
LinkedIn MCP Server
A MCP server for LinkedIn REST API v2 that enables AI assistants to create, list, and delete posts, manage events, upload images, comment, and react—featuring OAuth 2.0 with session persistence, local post history tracking, and multiple automated tests
Voidly MCP Server
3 tools for global censorship intelligence (119 countries) + E2E encrypted agent-to-agent messaging with Double Ratchet and post-quantum crypto
Genesys Cloud MCP Server
Exposes Genesys Cloud tools like sentiment analysis, conversation search, and topic detection for LLMs.