# AceDataCloud Fish Audio

> AceDataCloud Fish Audio — acedatacloud-fish. Use this tool when you need to generate high-quality spoken audio from text, such as creating voiceovers or audiobooks, and leverage advanced voice conditioning and cloning capabilities. It solves problems like converting written content into engaging audio experiences and creating personalized voices for AI assistants. The tool takes text as input and produces spoken audio as output, making it ideal for use cases where audio narration is required.

Canonical page: https://skillsregistry.net/skills/acedatacloud-fish  
JSON: https://api.skillsregistry.net/v1/skills/acedatacloud-fish

## Description

AceDataCloud Fish Audio exposes Fish Audio's text-to-speech capabilities, including voice conditioning and cloning, through the AceDataCloud platform. It lets AI assistants generate spoken audio from text using Fish Audio's models. AceDataCloud operates the platform but does not create the underlying Fish Audio text-to-speech technology.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/acedatacloud-fish)
- **Repository:** <https://github.com/acedatacloud/fishmcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "acedatacloud-fish"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/acedatacloud-fish` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/acedatacloud-fish/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt