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Shop MCP Server

by victorshevtsov
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    Related Servers

    • shop-database-mcp

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      Enables read-only exploration and analysis of an included SQLite shop database through tools for listing tables, describing schemas, and running SQL queries.
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    • db-mcp

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    • Shop SQLite MCP

      mixe-deep
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      quality
      C
      maintenance
      Enables safe, read-only analysis of an online store's SQLite database, providing schema introspection, restricted SELECT queries, and specialized analytics tools through MCP.
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    • Shop Database MCP Server

      melixetian
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      A
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      Enables an AI agent to inspect and analyze a local SQLite shop database through read-only, single-query SELECT operations, with schema inspection and paginated querying.
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    • Shop Analytics MCP Server

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    • shop-mcp

      AndrewKonst
      F
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to read-only analyze a SQLite e-commerce database, exploring schema and running analytical SQL queries over stdio.
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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

    A4.1/5.0

    Scored across 9 tools

    Disambiguation4/5

    Each tool targets a distinct resource or metric, and the descriptions clearly separate raw entity queries from analytics. The only mild ambiguity is between top_customers_by_spend and customers_by_order_count, both returning top customer lists, though their ordering metrics differ.

    Naming Consistency4/5

    Entity lookups consistently use get_* (get_customers, get_products, get_orders, get_order_items), while analytics mostly follow a noun_by_dimension pattern. customers_by_order_count breaks the top_* prefix used by other analytics tools, but the pattern remains predictable overall.

    Tool Count5/5

    Nine tools is a well-scoped size for a shop-focused read/analytics server. Each tool covers a meaningful query surface without redundancy or excessive narrowness.

    Completeness4/5

    The server covers core shop data retrieval and key analytics dimensions: customers, products, orders, line items, revenue, and top lists. Minor gaps exist, such as no single-record detail endpoint or no direct product-to-category drill-down, but the surface is workable for typical reporting workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources