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Analyze audio files for exact metrics used in intelligent DAW control.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "music-perception-mcp" yet — see the docs or source repo.
Analyze this audio and return LUFS, peak level, clipping status, spectral balance, and stereo width in structured JSON.
Reproducible audio measurements for evaluating mastering quality or downstream automation.
Analyze this song’s tempo, key, section energy changes, and loudness, then provide control suggestions for automated mixing.
Tempo, key, and dynamic features plus parameter suggestions usable in DAW automation.
Batch-analyze these audio files for loudness, spectral centroid, and clipping, and identify which files deviate from the overall standard.
A multi-file comparison highlighting outliers and the metrics causing deviation.
Analyze audio structure, rhythm, and key with structured JSON and visual outputs.
Extract YouTube audio and analyze tempo, mood, energy, and synced lyrics.
Control Audacity via MCP for automated audio generation, editing, and export.
Compose music with theory lookups, rhythm generation, and deterministic MIDI rendering.
Access ListenBrainz listening history and related music activity data.
Enable AI to transcribe audio, detect languages, and extract metadata.