@alanse/fish-audio-mcp-server
Advanced tools
An MCP (Model Context Protocol) server that provides seamless integration between Fish Audio's Text-to-Speech API and LLMs like Claude, enabling natural language-driven speech synthesis.
Fish Audio is a cutting-edge Text-to-Speech platform that offers:
This MCP server brings Fish Audio's powerful capabilities directly to your LLM workflows.
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
Get your Fish Audio API key from Fish Audio
Set up environment variables:
export FISH_API_KEY=your_fish_audio_api_key_here
{
"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"
}
}
}
}
{
"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"
}
}
}
}
| Variable | Description | Default | Required |
|---|---|---|---|
FISH_API_KEY | Your Fish Audio API key | - | Yes |
FISH_MODEL_ID | TTS model to use (s1, speech-1.5, speech-1.6) | s1 | Optional |
FISH_REFERENCE_ID | Default voice reference ID (single reference mode) | - | Optional |
FISH_REFERENCES | Multiple voice references (see below) | - | Optional |
FISH_DEFAULT_REFERENCE | Default reference ID when using multiple references | - | Optional |
FISH_OUTPUT_FORMAT | Default audio format (mp3, wav, pcm, opus) | mp3 | Optional |
FISH_STREAMING | Enable streaming mode (HTTP/WebSocket) | false | Optional |
FISH_LATENCY | Latency mode (normal, balanced) | balanced | Optional |
FISH_MP3_BITRATE | MP3 bitrate (64, 128, 192) | 128 | Optional |
FISH_AUTO_PLAY | Auto-play audio and enable real-time playback | false | Optional |
AUDIO_OUTPUT_DIR | Directory for audio file output | ~/.fish-audio-mcp/audio_output | Optional |
You can configure multiple voice references in two ways:
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"
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
Once configured, the Fish Audio MCP server provides two tools to LLMs.
fish_audio_ttsGenerates speech from text using Fish Audio's TTS API.
text (required): Text to convert to speech (max 10,000 characters)reference_id (optional): Voice model reference IDreference_name (optional): Select voice by namereference_tag (optional): Select voice by tagstreaming (optional): Enable streaming modeformat (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 pathauto_play (optional): Automatically play the generated audiowebsocket_streaming (optional): Use WebSocket streaming instead of HTTPrealtime_play (optional): Play audio in real-time during WebSocket streamingVoice Selection Priority: reference_id > reference_name > reference_tag > default
fish_audio_list_referencesLists all configured voice references.
No parameters required.
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
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
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
User: "Generate Japanese speech saying 'γγγ«γ‘γ―' 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
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
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
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
git clone https://github.com/da-okazaki/mcp-fish-audio-server.git
cd mcp-fish-audio-server
npm install
.env file:cp .env.example .env
# Edit .env with your API key
npm run build
npm run dev
Run the test suite:
npm test
mcp-fish-audio-server/
βββ src/
β βββ index.ts # MCP server entry point
β βββ tools/
β β βββ tts.ts # TTS tool implementation
β βββ services/
β β βββ fishAudio.ts # Fish Audio API client
β βββ types/
β β βββ index.ts # TypeScript definitions
β βββ utils/
β βββ config.ts # Configuration management
βββ tests/ # Test files
βββ audio_output/ # Default audio output directory
βββ package.json
βββ tsconfig.json
βββ README.md
The service provides two main methods:
generateSpeech: Standard TTS generation
generateSpeechStream: Streaming TTS generation
The server handles various error scenarios:
"FISH_API_KEY environment variable is required"
FISH_API_KEY environment variable"Network error: Unable to reach Fish Audio API"
"Text length exceeds maximum limit"
Audio files not appearing
AUDIO_OUTPUT_DIR path existsContributions are welcome! Please feel free to submit a Pull Request.
git checkout -b feature/AmazingFeature)git commit -m 'Add some AmazingFeature')git push origin feature/AmazingFeature)This project is licensed under the MIT License - see the LICENSE file for details.
For issues, questions, or contributions, please visit the GitHub repository.
fish_audio_list_references to list configured voiceswebsocket_streaming and realtime_playauto_play parameter[0.6.1] - 2025-01-04
FAQs
MCP server for Fish Audio Text-to-Speech integration
We found that @alanse/fish-audio-mcp-server demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.Β It has 1 open source maintainer collaborating on the project.
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