@audiolabtools/mcp-server
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TDQS
Scored across 10 tools
Most tools target a distinct analysis lens (loudness, spectrum, voice, segments, index), but analyze_profile is an umbrella that overlaps with analyze_voice, analyze_loudness, and index_signal, and analyze_timeseries sits close to analyze_loudness. Descriptions largely disambiguate by scoping each to a specific output, so confusion is limited to a couple of pairs.
All ten tools follow a consistent snake_case verb_noun pattern (analyze_loudness, check_target, get_spectrum, compare_loudness, index_signal, analyze_batch). No mixed conventions or stylistic outliers.
Ten tools is well within the sweet spot and each earns its place: distinct analysis lenses, a target checker, a comparator, and a batch runner. Nothing feels redundant or thin.
The surface covers the core audio-QA lifecycle: measurement (loudness, spectrum, timeseries), voice QA, indexing, target verification, comparison, and batch runs. Minor gaps like no dedicated silence/clipping-region extractor or format/provenance-specific operation are largely absorbed by analyze_profile and index_signal.