fish-speech-mcp
Fish-speech-mcp is an MCP server designed to provide text-to-speech synthesis capabilities for large language models (LLMs). It allows users to convert text into speech and save voice references for future use. The server integrates with Dive and other MCP-compatible LLMs, offering enhanced text-to-speech functionalities.
fish-speech-mcp
An MCP server for text-to-speech synthesis (TTS) for LLMs.
Features
- Text-to-Speech: Convert text to speech using FishSpeech
- Saving a Voice Reference: Saving a Voice Reference
- MCP Integration: Works with Dive and other MCP-compatible LLMs
Installation
not available
With Dive Desktop
- Click "+ Add MCP Server" in Dive Desktop
- Copy and paste this configuration:
{
"mcpServers": {
"fish-speech": {
"command": "npx",
"args": [
"-y",
"@demon24ru/fish-speech-mcp"
]
}
}
}
- Click "Save" to install the MCP server
Configuration
The MCP server can be configured using environment variables:
MCP_FISH_SPEECH_SERVER_URL
: URL of the Optivus server (default:http://localhost:5000
)
Tool Documentation
-
text_to_speech
- Convert text to speech using FishSpeech
- Inputs:
text
(string, required): Text to convert to speechreference_id
(string, optional): Identifier of a saved voice
-
save_voice_reference
- Save a voice reference for future voice cloning
- Inputs:
reference_audio
(string, required): Path to an audio file for voice cloningreference_text
(string, required): Text corresponding to the audio file for voice cloning
Technical Details
Communication with Optivus Server
The MCP server communicates with the Optivus server using Socket.IO. The communication flow is as follows:
- The MCP server connects to the Optivus server using Socket.IO client
- Requests are sent to the server using the
message
event - Responses are received from the server using the
message
event - The MCP server handles connection, reconnection, and error scenarios automatically
Voice References
Voice references are stored in directory from optivus. Each reference is stored in a subdirectory named with a unique ID.
Usage Examples
Ask your LLM to:
"Convert this text to speech: Text to convert, Reference ID"
"Save a voice reference: Path to audio file, Text corresponding to the audio file"
Manual Start
If needed, start the server manually:
npx @demon24ru/fish-speech-mcp
Debug
If needed, start the server in debug mode:
npm run prepare
npx @modelcontextprotocol/inspector node ./lib/index.mjs -y
Requirements
- Node.js 20+
- MCP-compatible LLM service
License
MIT
Author
@demon24ru