AI Atlas

Voice Processing · AI Chatbot

MCP Fish Audio Server

da-okazaki/mcp-fish-audio-server

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.

View on GitHub

Install

npx -y @alanse/fish-audio-mcp-server

Client configuration

{
  "mcpServers": {
    "fish-audio": {
      "command": "npx",
      "args": [
        "-y",
        "@alanse/fish-audio-mcp-server"
      ],
      "env": {
        "FISH_API_KEY": "<FISH_API_KEY>",
        "FISH_MODEL_ID": "<FISH_MODEL_ID>",
        "FISH_REFERENCE_ID": "<FISH_REFERENCE_ID>",
        "FISH_OUTPUT_FORMAT": "<FISH_OUTPUT_FORMAT>",
        "FISH_STREAMING": "<FISH_STREAMING>",
        "FISH_LATENCY": "<FISH_LATENCY>",
        "FISH_MP3_BITRATE": "<FISH_MP3_BITRATE>",
        "FISH_AUTO_PLAY": "<FISH_AUTO_PLAY>",
        "AUDIO_OUTPUT_DIR": "<AUDIO_OUTPUT_DIR>"
      }
    }
  }
}

Environment variables

FISH_API_KEYFISH_MODEL_IDFISH_REFERENCE_IDFISH_OUTPUT_FORMATFISH_STREAMINGFISH_LATENCYFISH_MP3_BITRATEFISH_AUTO_PLAYAUDIO_OUTPUT_DIRFISH_REFERENCESFISH_DEFAULT_REFERENCEFISH_REFERENCE_1_ID
Author
@da-okazaki
Category
Voice Processing, AI Chatbot
License
MIT
Updated
Oct 6, 2026

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

Details on this page are taken from the project's README. Open README

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