Provides text-to-speech capabilities to AI assistants using macOS's built-in speech synthesis.
Sponsored
Integrate powerful macOS text-to-speech functionality directly into your AI workflows with this Model Context Protocol (MCP) server. It enables AI assistants to audibly speak text, select from various system voices, and control speech rate. This lightweight Go implementation ensures seamless audio output on macOS, making your AI interactions more dynamic and accessible. Ideal for enhancing conversational AI experiences.
Key Features
010 GitHub stars
02Robust error handling for permissions and invalid inputs
03Supports optional voice selection and speech rate control
04Converts text to speech using macOS's `/usr/bin/say` command
05Simple, lightweight implementation in Go
06Lists all available system text-to-speech voices
Use Cases
01Enabling AI assistants like Claude Desktop or Claude Code to provide audible responses
02Adding text-to-speech functionality to custom AI applications on macOS
03Exploring available system voices and their characteristics programmatically
