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Shop Analytics MCP

by Myrhoiazov
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    • Shop Analytics MCP Server

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    • Shop SQLite MCP

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    • db-mcp

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      Enables AI agents to safely interact with a SQLite shop database through schema discovery, read-only SQL queries, and pre-built analytics reports like top customers, top products, and revenue summaries.
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    • Shop MCP Server

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    • Local Database Analytics MCP

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    • shop-database

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    TDQS

    A3.9/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct entity or aggregation level: database schema, customer counts, product sales rankings, category revenue, total revenue, and customer leaders. Even though get_customer_metrics and get_order_leaders both involve customers, their purposes (country-level counts vs. individual customer extremes) are clearly separated. No two tools are likely to cause misselection.

    Naming Consistency5/5

    All tool names follow the consistent pattern 'get_' followed by a descriptive noun phrase, using snake_case throughout. Examples: get_database_schema, get_product_sales, get_revenue_by_period. This uniform phrasing makes the set predictable and easy to navigate.

    Tool Count5/5

    With 6 tools, the server is well-scoped for a shop analytics use case. It covers the essential query types without unnecessary proliferation, and each tool earns its place by addressing a distinct analytical question. The count is within the ideal range for a focused server.

    Completeness4/5

    The tool set covers key analytics workflows: schema inspection, customer metrics, product and category performance, total revenue, and top customer identification. Minor gaps include lack of time-series revenue breakdown (e.g., by day/month) and no list of customers beyond the leader, but the core analytical needs are met. These omissions are workable around.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources