# muse-tts-embed

> muse-tts-embed — falcoschaefer99-eng-muse-tts-embed. Use this tool when you need to integrate a robust text-to-speech functionality into a chat interface, enabling users to listen to audio content with features like play, pause, seek, and download. It solves problems of audio accessibility and engagement, supporting 54 voices and voice cloning capabilities. Ideal for use cases where a fully local, persistent audio player is required, with inputs including text and voice selections, and outputs including playable audio files.

Canonical page: https://skillsregistry.net/skills/falcoschaefer99-eng-muse-tts-embed  
JSON: https://api.skillsregistry.net/v1/skills/falcoschaefer99-eng-muse-tts-embed

## Description

Persistent audio player embedded in Claude's chat. 54 voices, voice cloning, play/pause/seek/download. Fully local.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/falcoschaefer99-eng/muse-tts-embed)

## 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": "falcoschaefer99-eng-muse-tts-embed"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/falcoschaefer99-eng-muse-tts-embed` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/falcoschaefer99-eng-muse-tts-embed/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