# MCP Fish Server

> MCP Fish Server — acedatacloud-fishmcp. Use this tool when you need to generate high-quality text-to-speech audio using Fish Audio models, or manage voice libraries and tasks. It solves problems related to audio content creation, voiceovers, and accessibility by providing an interface for browsing and selecting voices, and generating speech from text inputs. The tool accepts text inputs and outputs audio files, making it ideal for use cases such as podcasting, video narration, and audiobook production.

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

## Description

Enables text-to-speech generation via Fish Audio models, including voice library browsing and task management.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cwxdkyhn0s)
- **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-fishmcp"
    }
  }
}
```

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