
鱼 - 斯波克-MCP
用于LLMS的文本到语音综合(TTS)的MCP服务器。
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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 speech -
reference_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 cloning -
reference_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
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Reviews

user_4JTGKbLs
I've been using Fish-Speech-MCP developed by demon24ru and it has been fantastic! The application works seamlessly and the functionalities are intuitive. The GitHub page at https://github.com/demon24ru/fish-speech-mcp provides a clear presentation of the project. If you're into MCP applications, this one is definitely worth checking out for its efficiency and user-friendly interface.