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.
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Highlight AINarrate a conversation using a defined script. Parameters: script (string, path to JSON or Markdown file), output_path (string, path to save the audio file), script_format (string, either 'json' or 'markdown')
Convert text directly to speech. Parameters: text (string, the text to convert), output_path (string, path to save the audio file). Alternatively, use text_file_path (string, path to a text file).
Transcribe speech from an audio or video file. Parameters: file_path (string, path to the audio/video file), include_timestamps (optional boolean), detect_speakers (optional boolean).
