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 AIGenerate audio files for a conversation using either JSON or Markdown format. Parameters: script (string), output_path (string), script_format (string)
Convert text to speech and save it as an audio file. Parameters: text (string), output_path (string) or text_file_path (string)
Transcribe speech from various audio and video formats. Parameters: file_path (string), include_timestamps (optional boolean), detect_speakers (optional boolean)
