retail-mcp
Related Servers
Alternatives to retail-mcp
No user-submitted related servers found.
Related Servers
AlicenseNot gradedqualityCmaintenanceEnables AI apps to search shop orders, products, customers, and stock and, with explicit approval, update orders, products, and inventory through the Model Context Protocol.MIT- AlicenseNot gradedqualityCmaintenanceEnables AI agents to securely access and act on CRM, order, support, and automation systems through the Model Context Protocol, with authentication, authorization, audit logging, and guardrails.MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to discover and invoke enterprise tools like web search, document parsing, meeting scheduling, and email through a unified Model Context Protocol server that aggregates and routes across multiple backends.1-
- FlicenseBqualityDmaintenanceImplements the Model Context Protocol (MCP) to provide AI models with a standardized interface for connecting to external data sources and tools like file systems, databases, or APIs.1153-
- AlicenseNot gradedqualityAmaintenanceEnables AI clients to connect to 2,000+ AI models and APIs through the Model Context Protocol, with OAuth, discovery, inspection, execution, pricing checks, and rollback.556,724 npmMIT
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that provides AI models with structured access to external data and services, acting as a bridge between AI assistants and applications, databases, and APIs in a standardized, secure way.2-
TDQS
Scored across 3 tools
Each tool targets a distinct domain action: support ticket creation, order processing, and inventory updating. No two tools overlap in purpose, ensuring clear differentiation for an agent.
All tools follow a consistent verb_noun pattern (create_support_ticket, process_order, update_inventory), making the naming predictable and easy to navigate.
With only 3 tools, the server feels sparse for a retail domain, which typically involves many more operations (e.g., product listings, customer management). However, the tools are focused and non-redundant.
The tools cover core retail actions (support, order processing, inventory) but miss obvious CRUD operations like reading or searching orders/inventory, creating products, or listing customers, leaving notable gaps.