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Tailorlist MCP

Tailorlist MCP

by facurabinovich
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4/5.0

    Scored across 18 tools

    Disambiguation5/5

    Each tool targets a distinct stage or resource: cache loading, overview, single-playlist view, draft creation/editing, statistics, track search, duplicates, comparison, genre filling, and progress management. The detailed descriptions make the boundaries clear even where tools display related information, such as show_overview versus collection_stats.

    Naming Consistency4/5

    Almost all names follow a snake_case verb_noun pattern (load_playlists, show_draft, find_tracks, reset_progress). A couple are noun phrases instead (collection_stats, organize_progress), which is readable but slightly breaks the otherwise consistent action-oriented convention.

    Tool Count4/5

    18 tools is somewhat above the typical 3–15 range, but the server covers a fairly broad workflow (Spotify connection, cache management, analysis, drafts, progress). The tools mostly earn their place without obvious redundant aliases, though the surface is on the heavy side.

    Completeness3/5

    The set covers loading/cache management, analysis, draft creation and editing, progress tracking, and cleanup. However, there is no MCP tool to export or publish a draft back to Spotify, and no tool to delete a whole draft, which leaves a notable gap in the end-to-end draft lifecycle.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources