MCP GraphQL Sales Server
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- AlicenseBqualityDmaintenanceEnables AI assistants to execute GraphQL queries and retrieve schema information from any GraphQL endpoint.2223 npm8MIT

Saleor MCP Serverofficial
AlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with Saleor Commerce instances to fetch data about products, customers, and orders through a read-only GraphQL API integration. Supports secure authentication and domain validation for connecting to Saleor cloud instances.16AGPL 3.0- AlicenseAqualityDmaintenanceProvides AI assistants with real-time access to Shopify store analytics, sales data, and inventory through ShopifyQL and the Admin GraphQL API. It enables users to query store performance, customer metrics, and marketing insights using natural language.13MIT
- AlicenseAqualityDmaintenanceProvides comprehensive GraphQL introspection, filtering, and query/mutation execution with safety controls. Enables AI agents to explore and interact with GraphQL APIs through natural language.74 npm1MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to safely query and explore SQL Server and PostgreSQL databases with read-only access, supporting schema discovery, relationship exploration, and query execution.9 npm3MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI to query a business database for customers, orders, and revenue using natural language through safe, well-defined tools.-
TDQS
Scored across 10 tools
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.
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.
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.
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.