Chatterbox TTS
Converts text to speech using either high-quality Chatterbox TTS neural models or macOS's built-in 'say' command with configurable
This MCP server provides text-to-speech functionality using either the high-quality Chatterbox TTS neural model or macOS's built-in 'say' command, automatically generating speech from text and playing it back with configurable expressiveness controls. Built by digitarald using Python and FastMCP, it features automatic model loading with progress notifications, persistent audio file storage with configurable TTL cleanup, dual TTS engine support for flexibility between quality and speed, and specialized prompts for daily haikus and code roasts. The implementation handles device optimization (MPS/CUDA/CPU), provides real-time progress updates during speech generation, and includes comprehensive audio resource management with embedded playback, making it valuable for developers who want AI assistants to provide spoken feedback, code reviews, or daily engagement through voice interaction.
Source
Repository: https://github.com/digitarald/chatterbox-mcp
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