Audio Analyzer MCP server

audiovisualizerrs

An MCP server that gives Claude the ability to hear music.

Point Claude at any audio file and it can tell you the key, tempo, dynamics, timbre, percussive character, stereo field, structural sections, and how the music evolves over time -- all from raw audio analysis, no images, no guessing, under 1% context window usage.

Compare two tracks side-by-side. Detect where the music changes structurally — intro, verse, chorus, bridge — and zoom into the moments that matter.

What is this?

LLMs can see (vision) and read (text), but they can't hear. This project bridges that gap by running real audio analysis -- the same DSP techniques used in music information retrieval research -- and returning structured numerical data that Claude can reason about.

It's an MCP server that exposes audio analysis as tools Claude can call on demand. Ask Claude to analyze a song and it will decode the audio, run spectral/harmonic/rhythm/percussive analysis, and return the results as compact text. No spectrograms, no images, no wasted tokens.

Full analysis of a 60-second track completes in under 2 seconds (including source separation). Pure Rust. No Python, no FFmpeg, no system dependencies.

Features

• Audio decoding -- mp3, wav, flac, ogg, aac via Symphonia (pure Rust)
• Spectral analysis -- centroid (brightness), bandwidth (richness), rolloff, flatness (tonality)
• Frequency band energy -- RMS energy across 7 standard producer bands (sub-bass through brilliance) for mix diagnosis
• Spectral contrast -- peak vs valley per band in dB, reveals clarity vs muddiness
• Dynamic range -- crest factor, loudness range (95th-5th percentile), peak dBFS
• LUFS loudness -- EBU R128 integrated loudness (ITU-R BS.1770-4 stereo channel summing), true peak (dBTP), loudness range (LRA), streaming platform targets. Validated to 0.0 dB of FabFilter Pro-L 2.
• Stereo field analysis -- phase correlation (mono compatibility), stereo width (mid/side ratio), L/R balance, mono compatibility score. Per-frame time-series to pinpoint where phase issues occur.
• Temporal features -- RMS energy (loudness), zero crossing rate (texture)
• Timbre -- 13 MFCCs (Mel-frequency cepstral coefficients)
• Harmonic analysis -- chromagram, key detection (Krumhansl-Schmuckler algorithm), tonnetz
• Rhythm analysis -- tempo estimation, beat tracking, onset detection, tempo stability
• Percussive character -- harmonic/percussive source separation (HPSS), attack sharpness, onset density

See it in action

Watch a fresh Claude analyse four tracks in one session — an original piano/brass composition, Bohemian Rhapsody's full structure mapped with section boundaries, an A/B mix comparison with production advice, and a thunderstorm field recording where it triages music metrics as "meaningless" vs "physically real." All four analyses fit in a single context window.

Installation

Claude Desktop — one-click install

Download the .mcpb bundle for your platform from GitHub Releases and open it. Claude Desktop will handle the rest — no config files, no terminal, no setup.

Shortened. The full README is on GitHub.