Tag-per-Track
Related Servers
Alternatives to Tag-per-Track
No user-submitted related servers found.
Related Servers
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- FlicenseNot gradedqualityBmaintenanceAnalyzes audio files to extract exact, reproducible measurements like loudness, tempo, key, spectral balance, and clipping for LLM-based DAW control.-
- AlicenseAqualityAmaintenanceCross-platform music link resolution for AI agents. Resolve any song or album across Spotify, Apple Music, Amazon, YouTube, and more. Returns affiliate-ready links with click tracking563 npm3MIT
- AlicenseAqualityBmaintenanceEnables AI agents to analyze local or URL-hosted audio files with TrackTag, returning professional music metadata such as BPM, key, genres, moods, and 35+ fields. Runs locally on your machine, using your TrackTag API key and credit balance for analyses.523 npm1MIT
- AlicenseNot gradedqualityCmaintenanceEnables local, private analysis of YouTube URLs and local audio files to extract BPM, key modulations, vocal presence, transient punch, stereo width, and CLAP vibe embeddings, returning structured sonic signatures for AI agents and CLI users.4MIT
TDQS
Scored across 4 tools
analyze_audio and analyze_audio_with_lyrics are effectively aliases since lyrics extraction can be toggled via a parameter, creating avoidable overlap. The batch and artist stats tools are clearly distinct, so the ambiguity is limited but still real.
All tool names use a consistent lowercase snake_case verb_noun structure: analyze_audio, analyze_audio_with_lyrics, analyze_audio_batch, lookup_artist_stats. The naming pattern is predictable and easy for an agent to infer.
Four tools is within a reasonable scope for an audio analysis server, but one of them is redundant with analyze_audio. Removing the alias would make the count feel tighter and more purposeful.
The core workflows are covered: single-track analysis, lyrics extraction, batch processing, and artist stats lookup. Minor gaps exist, such as analysis history or playlist-level operations, but they are not obvious dead ends for the stated domain.