MCP Music Analysis

Example Use Cases

• 1

  Extract audio features (MFCC, spectral centroid, beat/onset times) from local files or remote audio links for music analysis or ML preprocessing.

• 2

  Analyze or summarize audio content from YouTube links by downloading/transcoding and computing timing and spectral features.

• 3

  An MCP-integrated audio analysis tool inside Claude Desktop to answer questions about duration, tempo, and other audio characteristics interactively.

Description

This Model Context Provider performs audio analysis (beat detection, duration, MFCC, spectral centroid, onset times, etc.) using librosa and supports input from local files, direct audio links, and YouTube. It is designed to run as an MCP server and integrate with Claude Desktop via a simple configuration, and can be installed manually or via Smithery. The project includes example prompts and tools for extracting common audio features to assist agents in music/audio understanding and processing. Future improvements mentioned include Whisper integration for lyrics and Docker support.