Muse Tts

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Install

Quickest path — install from PyPI:

pip install muse-tts            # preset voices only (Kokoro)
pip install muse-tts[cloning]   # + voice cloning (Chatterbox, cross-platform)
pip install muse-tts[macos]     # + Apple Silicon optimization (mlx_audio + IndexTTS cloning)

Note for Apple Silicon users: [macos] includes both Kokoro optimization AND IndexTTS voice cloning. You don't need [cloning] in addition.

Then start the server:

muse-tts

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What Is This?

Three TTS engines, one MCP server. Ask Claude to speak and it does — through your speakers, in any of 54 voices, with cloning from any reference audio. Nothing leaves your machine.

Looking for a persistent player embedded in Claude's chat? See MUSE TTS Embed.

Engine	What it does	Platform
Kokoro-82M	54 preset voices, ~1s generation	All platforms
IndexTTS-1.5	Natural voice cloning	Apple Silicon
Chatterbox OG	Voice cloning, cross-platform fallback	Windows / Linux

Add to Claude

Claude Desktop

{
  "mcpServers": {
    "muse-tts-live": {
      "command": "muse-tts"
    }
  }
}

Claude Code

claude mcp add muse-tts-live muse-tts

Then ask Claude to speak. It now has muse_speak, muse_list_voices, and muse_check.

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Install from source (developers)

If you're cloning the repo to hack on it or need pinned hashes:

Which file for your platform?

Platform	File
Apple Silicon Mac (M1/M2/M3/M4)	requirements-macos.txt
Intel Mac, Windows, Linux (preset voices only)	requirements-standard.txt
Intel Mac, Windows, Linux (+ voice cloning)	requirements-cloning.txt

macOS (Apple Silicon — fastest):

pip install -r requirements-macos.txt --require-hashes

Windows / Linux / Intel Mac — preset voices only:

pip install -r requirements-standard.txt --require-hashes

Windows / Linux / Intel Mac — add voice cloning:

pip install -r requirements-cloning.txt --require-hashes

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

Then run the server directly:

python server.py

Or add the cloned repo path to Claude Desktop:

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

Voice Cloning

Clone any voice from a reference clip:

"Speak this using the reference audio at ~/Downloads/my_voice.wav"

Adding Permanent Clones

Bring your own reference audio: drop a .wav into voices/, detected on restart, available as clone="filename" (without the .wav extension). Reference samples are not bundled with the package — bring your own.

Reference Audio Tips

• Format: WAV, 24kHz, mono
• Length: 10-30 seconds of clean speech
• Quality: Clear audio, minimal background noise

Convert your audio:

ffmpeg -i input.mp3 -ar 24000 -ac 1 -t 15 reference.wav

Configuration

Variable	Default	Description
KOKORO_VOICE	am_onyx	Default voice ID
KOKORO_SPEED	1.0	Speed multiplier (0.5 - 2.0)

Voices

54 preset voices across 9 languages:

Full voice list

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

Use muse_list_voices inside Claude to browse them interactively.

Tools

Tool	What it does
muse_speak	Speak text — preset voice, named clone, or custom ref audio
muse_list_voices	Browse all voices and clones, filter by language
muse_check	Verify engines, platform, and configuration

How It Works

Auto-detects the best engine for your platform:

Platform	Preset Engine	Cloning Engine
macOS Apple Silicon	mlx_audio	IndexTTS-1.5
Windows	kokoro PyTorch	Chatterbox OG
Linux	kokoro PyTorch	Chatterbox OG
Intel Mac	kokoro PyTorch	Chatterbox OG

Audio playback is handled natively (afplay on Mac, SoundPlayer on Windows, aplay/paplay on Linux).

Requirements

• Python 3.10+
• One of: mlx_audio (Mac M-series) or kokoro + soundfile (any platform)
• Optional: chatterbox-tts for voice cloning on non-Apple platforms
• ~200MB disk (Kokoro model) + ~1.5GB (IndexTTS-1.5) or ~2.5GB (Chatterbox)

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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