shopify-inventory-mcp
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- FlicenseNot gradedqualityDmaintenanceProvides Shopify demand forecasting, reorder recommendations, and dollar-impact reports as MCP tools.-
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- AlicenseNot gradedqualityCmaintenanceExposes Shopify Admin API as typed MCP tools for inventory, orders, revenue, and more, enabling Discord-based store management via AI agents.MIT
- AlicenseNot gradedqualityCmaintenanceConnects MCP-compatible clients to a Shopify store's Admin GraphQL API, exposing products, orders, customers, inventory, and sales data as callable tools. It enables natural-language store queries, low-stock and sales summaries, customer support answers, and creation of draft products for review.MIT
- 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
TDQS
Scored across 4 tools
Each tool has a clear primary purpose: risk listing, single-SKU forecast, reorder calculation, and audit explanation. The main potential confusion is between get_sku_forecast and get_reorder_suggestion, since both deal with stockout/reorder planning, but their outputs and use cases are sufficiently distinct.
All tool names use a consistent snake_case verb_noun pattern: list_at_risk_skus, get_sku_forecast, get_reorder_suggestion, explain_forecast_inputs. The convention is predictable and easy for an agent to follow.
Four tools is a reasonable, focused set for an inventory forecasting/audit server, with each tool serving a distinct analytical step. It is slightly narrow but not thin enough to be a problem for the stated purpose.
The surface covers core forecasting, reorder recommendation, risk listing, and auditability, but it lacks obvious adjacent operations such as listing all SKUs, retrieving current inventory levels, or updating lead-time/service-level settings. These gaps may force agents to work around missing capabilities.