Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.
Enables text-to-speech generation, voice cloning, dialogue creation, and other TTS operations through natural language in MCP-compatible AI assistants.
Enables text-to-speech conversion using the Kokoro TTS model, running fully locally with native JavaScript. Supports multiple voices, speed control, and integrates with MCP-compatible clients.
A low-latency text-to-speech MCP server that uses local Kokoro GGUF inference via TTS.cpp, providing say, get_voices, and get_status tools for AI agents to synthesize speech and manage playback queues.
