Audio Analysis MCP Server

Example Use Cases

• 1

  Transcribe audio with word-level timestamps.

• 2

  Identify and label individual speakers in audio recordings.

• 3

  Analyze prosody, speech patterns, and sentiment in spoken content.

Description

This MCP server offers a modular pipeline for detailed audio analysis using state-of-the-art models such as OpenAI Whisper for transcription and pyannote.audio for speaker diarization. It supports GPU acceleration with fallback to CPU and includes features like low-VRAM mode for resource-constrained environments. The server is designed for easy integration with MCP clients like Claude, enabling advanced audio processing capabilities in a composable manner.