A
licenseNot graded
qualityC
maintenanceEnables AI agents to analyze audio files, extracting tempo, key, beat drops, volume surges, high tones, loudness, brightness, and structure, and returning structured JSON and visualizations.
2
MIT
TrackTag MCP Server
by adigold
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TDQS
A4.1/5.0
Scored across 5 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: local file search, local file analysis, URL analysis, credit check, and job history. The two analysis tools are differentiated by input type (local path vs URL), avoiding ambiguity.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern with lowercase snake_case: find_audio_files, analyze_track, analyze_url, get_credits, list_recent_jobs. No mixing of styles or vague verbs.
Tool Count5/5
Five tools is well-scoped for the server's purpose: it covers file discovery, two analysis entry points, credit monitoring, and job history without unnecessary redundancy.
Completeness4/5
The core workflows (find, analyze, check credits, list history) are covered. A minor gap is the lack of a way to retrieve full past analysis results beyond the summary in list_recent_jobs, but this is workable.
Maintenance
ActivityStale
ResponsivenessNo issues