This MCP server implementation provides voice interaction capabilities for AI assistants, enabling speech-to-text and text-to-speech functionality. It uses faster-whisper for improved speech recognition performance and integrates with PyAudio for audio processing. The server offers a simplified API for starting conversations and replying to user input, making it suitable for applications requiring natural language voice interfaces with AI models.
Aún no hay reseñas. ¡Sé el primero en reseñar!
Inicia sesión para unirte a la conversación
Highlight AINarrate a conversation using a scripted format. Parameters: script (string), output_path (string), script_format (string: 'json' or 'markdown')
Convert text directly to speech. Parameters: text (string), output_path (string) or text_file_path (string)
Transcribe speech from audio or video files. Parameters: file_path (string), include_timestamps (optional boolean), detect_speakers (optional boolean)
