🦞 Mlx Tts OpenClaw Plugin & Skill | ClawHub
Looking to integrate Mlx Tts into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate apple apps & services tasks instantly, without having to write custom tools from scratch.
What this skill does
Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally.
Install
ClawHub CLI
openclaw skills install @guoqiao/mlx-ttsNode.js (npx)
npx clawhub@latest install mlx-ttsFull SKILL.md
Open originalMetadata table.
| name | description |
|---|---|
| mlx-tts | Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally. |
SKILL.md content below is scrollable.
MLX TTS
Text-To-Speech with MLX (Apple Silicon) and open-source models (default QWen3-TTS) locally.
Free and Fast. No API key required. No server required.
Requirements
mlx: macOS with Apple Siliconbrew: used to install deps if not available
Installation
bash ${baseDir}/install.sh
This script will use brew to install these CLI tools if not available:
uv: install python package and run python scriptmlx_audio: do the real job
Usage
To generate audio from text, run this script:
bash ${baseDir}/mlx-tts.sh "<text>"
Agent Instructions
- Run the script: Pass the text to be spoken as an argument.
- Handle Output: The script will output a path to a audio file.
Use the
messagetool to send the audio file to the user as an voice message:
{
"action": "send",
"filePath": "<filepath>"
}
Example: User: "Say hello world" Agent:
- Runs
bash path/to/mlx-tts.sh "hello world" - Receives output:
/tmp/folder/audio.ogg - Calls
message(action="send", filePath="/tmp/folder/audio.ogg", ...)
ClawHub Registry URL: https://clawhub.ai/guoqiao/skills/mlx-tts