muse-tts-embed

<p align="center"> <img src="./banner.png" alt="MUSE TTS Embed" width="800" /> </p>

<p align="center"> <img src="https://readme-typing-svg.demolab.com?font=Montserrat&weight=500&size=22&pause=1200&color=D4AF37&center=true&vCenter=true&width=980&lines=Your+AI+speaks+%E2%80%94+and+the+voice+stays+in+chat.;Persistent+player+experience%2C+fully+local.;54+voices+on+demand." alt="MUSE TTS Embed tagline" /> </p>

<p align="center"> <a href="https://opensource.org/licenses/Apache-2.0"><img src="https://img.shields.io/badge/License-Apache%202.0-D4AF37?style=flat" alt="License: Apache 2.0" /></a> <img src="https://img.shields.io/badge/Python-3.10+-3776AB?style=flat&logo=python&logoColor=white" alt="Python 3.10+" /> <img src="https://img.shields.io/badge/Protocol-Claude%20MCP-000000?style=flat&logo=anthropic&logoColor=white" alt="Claude MCP" /> <img src="https://img.shields.io/badge/TTS-Kokoro--82M-D4AF37?style=flat" alt="Kokoro-82M" /> </p>

<p align="center"> <img src="https://img.shields.io/badge/macOS-Apple%20Silicon-000000?style=flat&logo=apple&logoColor=white" alt="macOS" /> <img src="https://img.shields.io/badge/Windows-supported-0078D4?style=flat&logo=windows&logoColor=white" alt="Windows" /> <img src="https://img.shields.io/badge/Linux-supported-FCC624?style=flat&logo=linux&logoColor=black" alt="Linux" /> <img src="https://img.shields.io/badge/Voices-54-brightgreen?style=flat" alt="54 Voices" /> <img src="https://img.shields.io/badge/Languages-9-brightgreen?style=flat" alt="9 Languages" /> </p>

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What Is This?

MUSE TTS Embed gives Claude a persistent audio player — right in the chat. Everything runs on your machine.

Looking for direct audio playback without a player widget? See MUSE TTS Live.

Features

• Embedded Player — play, pause, seek, replay
• Voice Selector — switch between 54 voices without leaving the conversation
• Voice Cloning — drop a WAV, get a clone (~7s)
• Speed Control — 0.5x through 2.0x playback
• Download — save any generation as WAV or MP3
• 3 Engines — Kokoro-82M (~1s), IndexTTS-1.5 (Apple Silicon cloning), Chatterbox (cross-platform cloning)
• Fully Local — no cloud APIs, no Docker, no subscription

Quick Start

1. Install dependencies

macOS (Apple Silicon — fastest):

pip install fastmcp mlx_audio

Windows / Linux / Intel Mac:

pip install fastmcp kokoro soundfile numpy

On Linux, you also need espeak-ng: sudo apt install espeak-ng

2. Add to Claude Desktop

Open Settings > Developer > Edit Config and add:

{
  "mcpServers": {
    "muse-tts-embed": {
      "command": "python3",
      "args": ["/path/to/muse-tts-embed/server.py"]
    }
  }
}

Restart Claude Desktop.

3. Speak

Ask Claude to speak anything. Try: "Say hello in a warm voice" or "Read this paragraph aloud"

Voice Cloning

Add your own reference WAV files to the voices/ directory. They'll be detected on startup.

voices/
  my_narrator.wav
  interview_voice.wav

Then ask Claude: "Speak this using the my_narrator clone"

Or use ref_audio to point to any WAV in voices/ or ~/Downloads/:

"Read this aloud using the reference audio at ~/Downloads/sample.wav"

Configuration

Variable	Default	Description
KOKORO_VOICE	am_onyx	Default voice ID
KOKORO_SPEED	1.0	Default speed (0.5 - 2.0)
MUSE_AUTH_TOKEN	(required for HTTP)	Bearer token for HTTP mode
MUSE_PORT	3001	HTTP server port
MUSE_HOST	127.0.0.1	HTTP bind address

HTTP Mode (Web / Mobile)

For Claude Web or Mobile, run the server in HTTP mode behind a tunnel:

export MUSE_AUTH_TOKEN=your-secret-token
python3 server.py --http

Then expose via tunnel (ngrok, cloudflared) and add the URL to Claude's MCP settings.

Browsers block auto-play. The player shows a "click to play" hint — tap play to start.

Voices

54 preset voices across 9 languages (American English, British English, Spanish, French, Hindi, Italian, Japanese, Portuguese, Mandarin).

<details> <summary><strong>Full voice list</strong></summary>

Language	Female	Male
American English	af_alloy, af_aoede, af_bella, af_heart, af_jessica, af_kore, af_nicole, af_nova, af_river, af_sarah, af_sky	am_adam, am_echo, am_eric, am_fenrir, am_liam, am_michael, am_onyx, am_puck, am_santa
British English	bf_alice, bf_emma, bf_isabella, bf_lily	bm_daniel, bm_fable, bm_george, bm_lewis
Spanish	ef_dora	em_alex, em_santa
French	ff_siwis	--
Hindi	hf_alpha, hf_beta	hm_omega, hm_psi
Italian	if_sara	im_nicola
Japanese	jf_alpha, jf_gongitsune, jf_nezumi, jf_tebukuro	jm_kumo
Portuguese	pf_dora	pm_alex, pm_santa
Mandarin	zf_xiaobei, zf_xiaoni, zf_xiaoxiao, zf_xiaoyi	zm_yunjian, zm_yunxi, zm_yunxia, zm_yunyang

</details>

Tools

Tool	What it does
muse_speak_embed	Speak text with embedded player (preset or cloned voice)
muse_embed_check	Verify engine, platform, and configuration

How It Works

Audio is delivered via structuredContent — bypasses model context, no size limit. The player is a self-contained HTML/JS app.

Requirements

• Python 3.10+
• Claude Desktop (latest version with MCP Apps support)
• One of: mlx_audio (Mac M-series) or kokoro + soundfile (any platform)
• ~200MB disk space (model downloads on first use)

<details> <summary><strong>Troubleshooting</strong></summary>

Player shows "Generating..." but nothing happens: Check that the TTS engine is installed. Run muse_embed_check to verify status.

No sound on Web/Mobile: Browsers block auto-play. Click the play button.

"No TTS engine found": See installation above.

Model download is slow: First run downloads ~200MB.

"Text too long" error: Max 2000 characters per generation (~2 minutes of speech). Break longer text into parts.

Player doesn't appear: Update Claude Desktop to the latest version with MCP Apps support.

</details>

License

Licensed under the Apache License, Version 2.0.

Copyright 2026 The Funkatorium (Falco & Rook Schäfer). Protected under German Copyright Law (Urheberrechtsgesetz). Jurisdiction: Amtsgericht Berlin.

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<p align="center"> <a href="https://linktr.ee/musestudio95"> <img src="https://img.shields.io/badge/Built%20by-The%20Funkatorium-D4AF37?style=flat" alt="Built by The Funkatorium" /> </a> </p>