MCP Fish Server

A Model Context Protocol (MCP) server for Fish Audio TTS (Text-to-Speech) via the AceDataCloud platform. Generate natural-sounding speech and explore the Fish voice model library.

Features

High-quality TTS: Generate speech from text via Fish Audio models
Voice library: Browse, search, and fetch metadata for Fish voice models
Asynchronous tasks: Submit generation tasks and poll for results
Batch task lookup: Query multiple task results in one call

One-shot voice cloning

Pass one public HTTPS reference audio URL plus its exact transcript. This conditions only the current TTS request and does not create a reusable voice model:

python

fish_generate_audio(
    text="New speech in the referenced voice",
    reference_audio_url="https://cdn.acedata.cloud/reference.mp3",
    reference_text="The exact words spoken in the reference audio",
)

Use reference_id for saved or public voices, and the one-shot reference fields for a temporary voice. Do not combine them. Reference audio supports MP3/WAV and should be 10–270 seconds. Billing remains based on the target text's UTF-8 byte count.

Installation

Terminal

pip install mcp-fish

Configuration

Set your AceDataCloud API token:

server.ts

export ACEDATACLOUD_API_TOKEN=your_token_here

Get your token from https://platform.acedata.cloud.

Usage

stdio mode (default)

bash

mcp-fish

HTTP mode

bash

mcp-fish --transport http --port 8000

Tool Reference

Tool	Description
`fish_generate_audio`	Generate speech from text via a Fish voice model
`fish_list_models`	List available Fish voice models
`fish_get_model`	Fetch metadata for a specific Fish voice model
`fish_get_task`	Get the status / result of a generation task
`fish_get_tasks_batch`	Batch-fetch the status / result of multiple tasks
`fish_get_usage_guide`	Get the API usage guide

Documentation

License

MIT — see LICENSE at the repository root.