ElevenLabs MCP Server

A Model Context Protocol (MCP) server that provides text-to-speech functionality using the ElevenLabs API. This server allows you to convert text to natural-sounding speech with various voices and models.

Features

• Text-to-Speech Conversion: Convert any text to high-quality speech
• Voice Management: List and get detailed information about available voices
• Multiple Models: Support for various ElevenLabs TTS models
• Streaming Support: Real-time audio generation for longer texts
• Flexible Output: Multiple audio formats and custom voice settings
• Automatic File Management: Smart file naming and directory creation

Installation

1. Clone this repository:

git clone <repository-url>
cd elevan-labs-mcp

2. Install dependencies:

pip install -e .

3. Set up your ElevenLabs API key:

export ELEVENLABS_API_KEY="your_api_key_here"

Or create a .env file in the project root:

cp .env.example .env
# Edit .env and add your API key

You can get your API key from ElevenLabs Dashboard.

Usage

Running the Server

python main.py

Or using the installed script:

elevan-labs-mcp

🤖 LLM Integration

MCP Configuration

The mcp.json file provides configuration with clients:

{
    "servers": {
        "elevenlabs-mcp": {
            "type": "stdio",
            "command": "uvx",
            "args": [
                "--directory",
                "${workspaceFolder}",
                "elevan-labs-mcp"
                
            ],
            "envFile": "${workspaceFolder}/.env"
        }
    }
}

Available Tools

1. elevenlabs_text_to_speech

Convert text to speech with extensive customization options.

Parameters:

• text (required): The text to convert to speech
• voice_id (optional): Voice ID to use (defaults to George voice)
• model_id (optional): Model to use (defaults to eleven_multilingual_v2)
• output_format (optional): Audio format (defaults to mp3_44100_128)
• output_file (optional): Custom output file path
• voice_settings (optional): Custom voice settings (stability, similarity_boost, etc.)

Example:

{
  "text": "Hello, this is a test of the ElevenLabs text-to-speech API.",
  "voice_id": "JBFqnCBsd6RMkjVDRZzb",
  "output_format": "mp3_44100_128"
}

2. elevenlabs_list_voices

Get all available voices from your ElevenLabs account.

Parameters: None

Returns: List of voices with their IDs, names, categories, and settings.

3. elevenlabs_get_voice_info

Get detailed information about a specific voice.

Parameters:

• voice_id (required): ID of the voice to query

Returns: Detailed voice information including samples and settings.

4. elevenlabs_stream_text_to_speech

Convert text to speech with streaming for real-time generation.

Parameters:

• text (required): The text to convert
• voice_id (optional): Voice ID to use
• model_id (optional): Model to use
• output_file (required): Output file path

5. elevenlabs_get_models

Get all available text-to-speech models.

Parameters: None

Returns: List of models with their capabilities and limitations.

Supported Audio Formats

• MP3: mp3_44100_128, mp3_44100_192, mp3_44100_64
• PCM: pcm_16000, pcm_22050, pcm_24000, pcm_44100
• WAV: wav_22050, wav_44100, wav_48000
• μ-law: ulaw_8000

Voice Settings

You can customize voice generation with these settings:

• stability (0-1): Controls consistency between generations
• similarity_boost (0-1): Enhances similarity to the original voice
• style (0-1): Amplifies the style of the original speaker
• use_speaker_boost (boolean): Boost similarity to the original speaker

Error Handling

The server includes comprehensive error handling for:

• Missing API keys
• Invalid voice IDs
• API rate limits
• Network issues
• File system errors

Configuration

Environment Variables

• ELEVENLABS_API_KEY: Your ElevenLabs API key (required)

Default Settings

• Default Voice: George (JBFqnCBsd6RMkjVDRZzb)
• Default Model: eleven_multilingual_v2
• Default Format: mp3_44100_128
• Default Output Directory: ./audio_output

Examples

Basic Text-to-Speech

{
  "tool": "elevenlabs_text_to_speech",
  "arguments": {
    "text": "Welcome to the ElevenLabs MCP server!"
  }
}

Custom Voice and Settings

{
  "tool": "elevenlabs_text_to_speech",
  "arguments": {
    "text": "This is a custom voice example.",
    "voice_id": "your_voice_id_here",
    "voice_settings": {
      "stability": 0.75,
      "similarity_boost": 0.8,
      "style": 0.6
    }
  }
}

List Available Voices

{
  "tool": "elevenlabs_list_voices",
  "arguments": {}
}

Development

Project Structure

elevan-labs-mcp/
├── elevan_labs_mcp/
│   ├── __init__.py
│   └── server.py          # Main MCP server implementation
├── main.py                # Entry point
├── pyproject.toml         # Project configuration
├── README.md              # This file
└── .gitignore            # Git ignore rules

Dependencies

• mcp>=1.0.0: Model Context Protocol SDK
• elevenlabs>=1.0.0: ElevenLabs Python SDK
• httpx>=0.25.0: HTTP client
• pydantic>=2.0.0: Data validation

Troubleshooting

Common Issues

1. Missing API Key: Make sure ELEVENLABS_API_KEY is set in your environment
2. Voice Not Found: Use elevenlabs_list_voices to see available voices
3. Rate Limits: ElevenLabs has rate limits based on your subscription tier
4. File Permissions: Ensure the output directory is writable

Getting Help

• Check the ElevenLabs API Documentation
• Review the MCP Specification

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.