smart-retail-mcp
Related Servers
Alternatives to smart-retail-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceMCP server for VNDLY inventory and order management, enabling AI assistants to search products, list orders, and get low stock alerts.38 npmMIT
- FlicenseAqualityDmaintenanceMCP server for querying inventory items and stock levels via internal API, enabling AI chatbots to look up product codes and current quantities.2-
- AlicenseNot gradedqualityBmaintenancePredictive supply-chain MCP server that forecasts material confirmation risks and enables AI clients to interact with the system via natural language.MIT
- AlicenseNot gradedqualityBmaintenanceInventory Management AI - MCP server providing AI-powered tools and automation by MEOK AI Labs7 npm28 PyPIMIT
- FlicenseNot gradedqualityBmaintenanceEnterprise-grade MCP server for intelligent supply chain analytics, enabling managers to investigate forecast accuracy, vendor performance, demand trends, and root causes using natural language.-
- AlicenseNot gradedqualityCmaintenanceAn MCP server for supply chain intelligence that enables conversational querying of eight operational KPIs and anomaly detection data through Claude. It allows users to analyze performance metrics like OTIF and inventory turnover while providing LLM-generated root-cause explanations.11MIT
TDQS
Scored across 3 tools
Each tool targets a distinct inventory concern: current stock and lead times, sales velocity, and creating restock alerts. There is no meaningful overlap, so an agent can select the correct tool without ambiguity.
All tool names follow a consistent verb_noun pattern: get_current_stock, get_sales_velocity, create_ai_recommendation. The naming is predictable and clear.
Three tools is at the low end, but each tool has a clear role in the inventory-alerting workflow. The count feels appropriate for a narrow purpose, though the broad server name could imply more coverage.
The set covers the input side well, but create_ai_recommendation is a create-only operation with no way to list, update, or delete existing recommendations. This leaves agents with a dead end for managing alert state.