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venue-ops-mcp

venue-ops-mcp

by josemdasilvag-blip
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Python
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    TDQS

    A4.7/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing venues, retrieving a single day, comparing to same weekday averages, aggregating a range, and detecting anomalies. There is no overlap or ambiguity between them, and cross-references in examples reinforce which tool to use for which question.

    Naming Consistency5/5

    All five tools follow the exact same verb_noun pattern with the venue_ops_ prefix, using snake_case (find_anomalies, list_venues, get_day, compare_weekday, period_summary). The naming is perfectly predictable and consistent.

    Tool Count5/5

    With 5 tools, the server is well-scoped for a venue operations analytics domain. Each tool earns its place and covers a distinct query pattern without being too thin or unnecessarily heavy.

    Completeness5/5

    The tool surface covers the core analytics needs: discovery (list), point-in-time snapshot (get day), fair comparison (compare weekday), aggregation (period summary), and proactive insight (find anomalies). No obvious gaps within the stated purpose of venue analytics.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources