A
licenseA
qualityB
maintenanceLets AI assistants answer questions about your Spotify listening history, including taste evolution, top artists, recently played, and playlist analysis.
8
60 npm
MIT
Your Spotify MCP Server
by pentafive
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TDQS
A3.7/5.0
Scored across 18 tools
Disambiguation4/5
Most tools have distinct purposes, such as analyze_affinity for user overlap and get_top_tracks for ranking tracks. However, some overlap exists between get_artist_stats and get_artist_rank, which both focus on artist-specific data, potentially causing confusion. The descriptions help differentiate them, but the boundaries could be clearer.
Naming Consistency5/5
All tool names follow a consistent snake_case pattern with clear verb_noun structures, such as analyze_affinity, get_top_tracks, and update_user_settings. There are no deviations in naming conventions, making the set predictable and easy to navigate.
Tool Count4/5
With 18 tools, the count is slightly high but reasonable for a Spotify analytics server covering user stats, sharing, and account management. It includes core functionalities like analysis, ranking, and export, though it might feel a bit heavy compared to more focused servers.
Completeness5/5
The toolset provides comprehensive coverage for Spotify listening analytics, including analysis, ranking, history search, data export, sharing, and account settings. There are no obvious gaps; it supports full lifecycle operations from data retrieval to user customization and public sharing.
Maintenance
ActivityInactive
ResponsivenessNo issues