MCP Fish Audio Server

🚀 Fish Audio MCP Server

The Fish Audio MCP Server is an MCP (Model Context Protocol) server that seamlessly integrates Fish Audio's Text-to-Speech API with LLMs like Claude. It enables natural language-driven speech synthesis, bringing powerful TTS capabilities to your LLM workflows.

✨ Features

• 🎙️ High-Quality TTS: Leverage Fish Audio's state-of-the-art TTS models.
• 🌊 Streaming Support: Real-time audio streaming for low-latency applications.
• 🎨 Multiple Voices: Support for custom voice models via reference IDs.
• 🎯 Smart Voice Selection: Select voices by ID, name, or tags.
• 📚 Voice Library Management: Configure and manage multiple voice references.
• 🔧 Flexible Configuration: Environment variable-based configuration.
• 📦 Multiple Audio Formats: Support for MP3, WAV, PCM, and Opus.
• 🚀 Easy Integration: Simple setup with any MCP-compatible client.

🚀 Quick Start

📦 Installation

You can run this MCP server directly using npx:

npx @alanse/fish-audio-mcp-server

Or install it globally:

npm install -g @alanse/fish-audio-mcp-server

⚙️ Configuration

1. Get your Fish Audio API key from Fish Audio.
2. Set up environment variables:

export FISH_API_KEY=your_fish_audio_api_key_here

3. Add to your MCP settings configuration:

Single Voice Mode (Simple)

{
  "mcpServers": {
    "fish-audio": {
      "command": "npx",
      "args": ["-y", "@alanse/fish-audio-mcp-server"],
      "env": {
        "FISH_API_KEY": "your_fish_audio_api_key_here",
        "FISH_MODEL_ID": "speech-1.6",
        "FISH_REFERENCE_ID": "your_voice_reference_id_here",
        "FISH_OUTPUT_FORMAT": "mp3",
        "FISH_STREAMING": "false",
        "FISH_LATENCY": "balanced",
        "FISH_MP3_BITRATE": "128",
        "FISH_AUTO_PLAY": "false",
        "AUDIO_OUTPUT_DIR": "~/.fish-audio-mcp/audio_output"
      }
    }
  }
}

Multiple Voice Mode (Advanced)

{
  "mcpServers": {
    "fish-audio": {
      "command": "npx",
      "args": ["-y", "@alanse/fish-audio-mcp-server"],
      "env": {
        "FISH_API_KEY": "your_fish_audio_api_key_here",
        "FISH_MODEL_ID": "speech-1.6",
        "FISH_REFERENCES": "[{'reference_id':'id1','name':'Alice','tags':['female','english']},{'reference_id':'id2','name':'Bob','tags':['male','japanese']},{'reference_id':'id3','name':'Carol','tags':['female','japanese','anime']}]",
        "FISH_DEFAULT_REFERENCE": "id1",
        "FISH_OUTPUT_FORMAT": "mp3",
        "FISH_STREAMING": "false",
        "FISH_LATENCY": "balanced",
        "FISH_MP3_BITRATE": "128",
        "FISH_AUTO_PLAY": "false",
        "AUDIO_OUTPUT_DIR": "~/.fish-audio-mcp/audio_output"
      }
    }
  }
}

💻 Usage Examples

Basic Usage

Once configured, the Fish Audio MCP server provides two tools to LLMs.

Tool 1: fish_audio_tts

Generates speech from text using Fish Audio's TTS API.

Parameters

• text (required): Text to convert to speech (max 10,000 characters).
• reference_id (optional): Voice model reference ID.
• reference_name (optional): Select voice by name.
• reference_tag (optional): Select voice by tag.
• streaming (optional): Enable streaming mode.
• format (optional): Output format (mp3, wav, pcm, opus).
• mp3_bitrate (optional): MP3 bitrate (64, 128, 192).
• normalize (optional): Enable text normalization (default: true).
• latency (optional): Latency mode (normal, balanced).
• output_path (optional): Custom output file path.
• auto_play (optional): Automatically play the generated audio.
• websocket_streaming (optional): Use WebSocket streaming instead of HTTP.
• realtime_play (optional): Play audio in real - time during WebSocket streaming.

Voice Selection Priority: reference_id > reference_name > reference_tag > default

Tool 2: fish_audio_list_references

Lists all configured voice references.

Parameters

No parameters required.

Returns

• List of configured voice references with their IDs, names, and tags.
• Default reference ID.

Advanced Usage

Basic Text-to-Speech

User: "Generate speech saying 'Hello, world! Welcome to Fish Audio TTS.'"

Claude: I'll generate speech for that text using Fish Audio TTS.

[Uses fish_audio_tts tool with text parameter]

Result: Audio file saved to ./audio_output/tts_2025-01-03T10-30-00.mp3

Using Custom Voice by ID

User: "Generate speech with voice model xyz123 saying 'This is a custom voice test'"

Claude: I'll generate speech using the specified voice model.

[Uses fish_audio_tts tool with text and reference_id parameters]

Result: Audio generated with custom voice model xyz123

Using Voice by Name

User: "Use Alice's voice to say 'Hello from Alice'"

Claude: I'll generate speech using Alice's voice.

[Uses fish_audio_tts tool with reference_name: "Alice"]

Result: Audio generated with Alice's voice

Using Voice by Tag

User: "Generate Japanese speech saying 'こんにちは' with an anime voice"

Claude: I'll generate Japanese speech with an anime-style voice.

[Uses fish_audio_tts tool with reference_tag: "anime"]

Result: Audio generated with anime voice style

List Available Voices

User: "What voices are available?"

Claude: I'll list all configured voice references.

[Uses fish_audio_list_references tool]

Result:
- Alice (id: id1) - Tags: female, english [Default]
- Bob (id: id2) - Tags: male, japanese
- Carol (id: id3) - Tags: female, japanese, anime

HTTP Streaming Mode

User: "Generate a long speech in streaming mode about the benefits of AI"

Claude: I'll generate the speech in streaming mode for faster response.

[Uses fish_audio_tts tool with streaming: true]

Result: Streaming audio saved to ./audio_output/tts_2025-01-03T10-35-00.mp3

WebSocket Real-time Streaming

User: "Stream and play in real-time: 'Welcome to the future of AI'"

Claude: I'll stream the speech via WebSocket and play it in real-time.

[Uses fish_audio_tts tool with websocket_streaming: true, realtime_play: true]

Result: Audio streamed and played in real-time via WebSocket

📚 Documentation

Environment Variables

Configuring Multiple Voice References

You can configure multiple voice references in two ways:

JSON Array Format (Recommended)

Use the FISH_REFERENCES environment variable with a JSON array:

FISH_REFERENCES='[
  {"reference_id":"id1","name":"Alice","tags":["female","english"]},
  {"reference_id":"id2","name":"Bob","tags":["male","japanese"]},
  {"reference_id":"id3","name":"Carol","tags":["female","japanese","anime"]}
]'
FISH_DEFAULT_REFERENCE="id1"

Individual Format (Backward Compatibility)

Use numbered environment variables:

FISH_REFERENCE_1_ID=id1
FISH_REFERENCE_1_NAME=Alice
FISH_REFERENCE_1_TAGS=female,english

FISH_REFERENCE_2_ID=id2
FISH_REFERENCE_2_NAME=Bob
FISH_REFERENCE_2_TAGS=male,japanese

🔧 Technical Details

Development

Local Development

1. Clone the repository:

git clone https://github.com/da-okazaki/mcp-fish-audio-server.git
cd mcp-fish-audio-server

2. Install dependencies:

npm install

3. Create .env file:

cp .env.example .env
# Edit .env with your API key

4. Build the project:

npm run build

5. Run in development mode:

npm run dev

Testing

Run the test suite:

npm test

Project Structure

mcp-fish-audio-server/
├── src/
│   ├── index.ts          # MCP server entry point
│   ├── tools/
│   │   └── tts.ts        # TTS tool implementation
│   ├── services/
│   │   └── fishAudio.ts  # Fish Audio API client
│   ├── types/
│   │   └── index.ts      # TypeScript definitions
│   └── utils/
│       └── config.ts     # Configuration management
├── tests/                # Test files
├── audio_output/         # Default audio output directory
├── package.json
├── tsconfig.json
└── README.md

API Documentation

Fish Audio Service

The service provides two main methods:

1. generateSpeech: Standard TTS generation
   • Returns audio buffer
   • Suitable for short texts
   • Lower memory usage
2. generateSpeechStream: Streaming TTS generation
   • Returns audio stream
   • Suitable for long texts
   • Real-time processing

Error Handling

The server handles various error scenarios:

• INVALID_API_KEY: Invalid or missing API key
• NETWORK_ERROR: Connection issues with Fish Audio API
• INVALID_PARAMS: Invalid request parameters
• QUOTA_EXCEEDED: API rate limit exceeded
• SERVER_ERROR: Fish Audio server errors

🛠️ Troubleshooting

Common Issues

1. "FISH_API_KEY environment variable is required"
   • Ensure you've set the FISH_API_KEY environment variable.
   • Check that the API key is valid.
2. "Network error: Unable to reach Fish Audio API"
   • Check your internet connection.
   • Verify Fish Audio API is accessible.
   • Check for proxy/firewall issues.
3. "Text length exceeds maximum limit"
   • Split long texts into smaller chunks.
   • Maximum supported length is 10,000 characters.
4. Audio files not appearing
   • Check the AUDIO_OUTPUT_DIR path exists.
   • Ensure write permissions for the directory.

🤝 Contributing

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

1. Fork the repository.
2. Create your feature branch (git checkout -b feature/AmazingFeature).
3. Commit your changes (git commit -m 'Add some AmazingFeature').
4. Push to the branch (git push origin feature/AmazingFeature).
5. Open a Pull Request.

📄 License

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

🙏 Acknowledgments

• Fish Audio for providing the excellent TTS API.
• Anthropic for creating the Model Context Protocol.
• The MCP community for inspiration and examples.

🛠️ Support

For issues, questions, or contributions, please visit the GitHub repository.

📜 Changelog

See CHANGELOG.md for a detailed list of changes.