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MCP GraphQL Sales Server

by JamBelg

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      Enables AI to query a business database for customers, orders, and revenue using natural language through safe, well-defined tools.
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    TDQS

    A3.9/5.0

    Scored across 10 tools

    Disambiguation4/5

    Each tool targets a distinct query pattern: order by ID, all orders, by customer name/ID, date ranges, summary, and raw GraphQL. get_orders_by_customer_name and get_orders_by_customer_id are similar but clearly differentiated by the lookup key. graphql_query could overlap with any tool but is explicitly raw and optional.

    Naming Consistency4/5

    Most tools follow a get_* pattern (get_order_by_id, get_all_orders, get_total_spent_by_customer), but graphql_query, test_connection, and the date-based tools (orders_after_date, orders_between_dates) deviate slightly. The naming is still intuitive and readable.

    Tool Count5/5

    10 tools is a well-scoped size for a sales query server. Each tool provides a distinct, useful capability without unnecessary redundancy, and the count fits comfortably within the ideal range for a focused server.

    Completeness4/5

    The server covers a comprehensive set of order-read operations: retrieval by ID, all, customer name/ID, date filtering, total spend, and summary statistics. A raw GraphQL query tool fills in gaps. Missing write operations and customer resource tools, but for a read-focused sales query server this is substantial.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues