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bhavya998

analytics-mcp

by bhavya998
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Python
Hybrid

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    TDQS

    A3.9/5.0

    Scored across 6 tools

    Disambiguation4/5

    Tools are mostly distinct: each targets a specific analytics aspect (trends, customer profile, regional, revenue report, top products, raw SQL). Some overlap in subject matter but purposes and outputs are clearly differentiated.

    Naming Consistency3/5

    Most tools use 'get_' prefix, but 'analyze_sales_trend' and 'query_database' break the pattern. The naming is readable but inconsistent across verbs.

    Tool Count5/5

    6 tools is well-scoped for an analytics server, covering common analytical functions without being excessive. Each tool earns its place.

    Completeness4/5

    Covers key analytics areas: trends, customers, regions, revenue, products. The query_database tool compensates for most gaps. Minor omission like employee analytics is noted but not critical.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

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