A
licenseNot graded
qualityC
maintenanceEnables Claude to analyze audio files locally, extracting musical features like key, tempo, dynamics, timbre, stereo field, and structural sections via an MCP server.
60
MIT
mcp-audio-analysis
by hugohow
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TDQS
B3.1/5.0
Scored across 8 tools
Disambiguation4/5
Most tools have distinct purposes in audio analysis (e.g., beat tracking vs. chroma vs. MFCC), but download_from_url and download_from_youtube overlap significantly in function—both download audio files from different sources with similar descriptions. The core analysis tools are well-differentiated, but the download tools could cause confusion.
Naming Consistency3/5
The naming is mixed: some tools use descriptive verb_noun patterns (beat_track, get_duration), while others are single verbs (load, tempo) or noun phrases (chroma_cqt, mfcc). There's no consistent convention across all tools, though most names are readable and hint at their function.
Tool Count4/5
With 8 tools, the count is reasonable for an audio analysis server, covering key operations like loading, downloading, and various analysis features. It's slightly lean but not incomplete, as it includes essential functions without being overwhelming.
Completeness3/5
The server covers basic audio analysis tasks (loading, downloading, duration, tempo, spectral features), but there are notable gaps: no tools for editing, filtering, or exporting audio, and no way to visualize results. The analysis tools are focused on computation but lack broader workflow support.