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A text-to-speech MCP server powered by Kokoro — gives Claude Code a voice

Project description

Soliloquy

Tests PyPI version Python License: MIT PyPI downloads

A text-to-speech MCP server powered by Kokoro — gives Claude Code a voice.

One command to install. No config, no API keys, no setup.

Requirements

  • macOS or Windows
  • Python 3.10+
Platform Audio Backend
macOS afplay (built-in)
Windows winsound (built-in Python module)

Note: Installation downloads ~2GB of dependencies (PyTorch, model weights). First run also downloads the Kokoro-82M model from HuggingFace.

Quick Start

No install needed (requires uv):

claude mcp add soliloquy -s user -- uvx soliloquy-tts

Or with pip:

pip install soliloquy-tts
claude mcp add soliloquy -s user -- soliloquy

Restart Claude Code after registering. Claude can now speak.

Scope: -s user registers Soliloquy globally so it's available in every project. Use -s local (or omit the flag) to register it for the current project only.

How It Works

Soliloquy uses a hybrid architecture to share a single model across multiple Claude Code sessions:

  • First session loads the Kokoro model and starts a local backend server
  • Additional sessions detect the running backend and connect as lightweight proxies (near-instant startup, no extra memory)
  • If the backend exits, the next session automatically takes over

This is completely transparent — no configuration needed.

Tools

speak

Synthesize and play text aloud.

Parameter Default Description
text (required) Text to speak
voice af_heart Voice ID (see below)
speed 1.0 Speed multiplier (0.5 - 2.0)
lang en-us Language code

read_aloud

Read a file aloud directly — Claude just passes the file path, no need to process the content first. Supports plain text and markdown.

Parameter Default Description
path (required) Path to the file to read
voice af_heart Voice ID (see below)
speed 1.0 Speed multiplier (0.5 - 2.0)
lang en-us Language code

list_voices

Returns all available voices with language and gender metadata.

Voices

28 voices across American and British English:

Voice Accent Gender
af_heart American Female
af_alloy American Female
af_aoede American Female
af_bella American Female
af_jessica American Female
af_kore American Female
af_nicole American Female
af_nova American Female
af_river American Female
af_sarah American Female
af_sky American Female
am_adam American Male
am_echo American Male
am_eric American Male
am_fenrir American Male
am_liam American Male
am_michael American Male
am_onyx American Male
am_puck American Male
am_santa American Male
bf_alice British Female
bf_emma British Female
bf_isabella British Female
bf_lily British Female
bm_daniel British Male
bm_fable British Male
bm_george British Male
bm_lewis British Male

Languages

en-us (default), en-gb, ja, zh, es, fr, hi, it, pt-br

Uninstall / Update

To unregister from Claude Code:

claude mcp remove soliloquy -s user

If using uvx, clear the cache to force a fresh download on next run:

uv cache clean soliloquy-tts

If using pip:

pip uninstall soliloquy-tts

Development

git clone https://github.com/bstovall/soliloquy.git
cd soliloquy
python3.11 -m venv .venv
source .venv/bin/activate
pip install -e .

Run the benchmark:

python scripts/benchmark_tts.py

License

MIT

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