SAP Commerce MCP Server

The SAP Commerce MCP server bridges the gap between conversational AI assistants and the rich product ecosystem of SAP Commerce Cloud. By exposing a comprehensive set of tools that map directly to OCC (Omni‑Channel Commerce) APIs, it allows Claude or similar agents to perform real‑time product discovery, cart manipulation, and order tracking through natural language commands. This eliminates the need for developers to build custom connectors or write repetitive API calls, enabling a smoother integration of e‑commerce logic into AI‑driven applications.

At its core, the server offers a robust search layer. The and tools let users query the catalog using plain English, while still supporting granular filters such as category, price range, and sort order. This dual‑mode search is invaluable for building chatbots that can answer “Show me laptops under $1,000” or “Find eco‑friendly kitchen gadgets.” Once a product is identified, , , and provide the depth of information required to give a comprehensive answer, from price and stock levels to customer sentiment.

Beyond browsing, the MCP server fully supports the shopping experience. Cart tools (, , , , and ) allow an assistant to guide a user through adding items, adjusting quantities, or reviewing the cart contents—all without leaving the conversational flow. Order‑related tools ( and ) give instant visibility into a user’s purchase history, enabling agents to offer personalized support or upsell based on past behavior.

The server also includes operational and analytical capabilities. offers a quick health check for monitoring uptime, while surfaces historical performance insights that can inform business decisions or trigger automated alerts. This blend of customer‑facing and back‑office tools makes the SAP Commerce MCP server a one‑stop shop for e‑commerce AI workflows.

In real‑world scenarios, the server empowers a range of use cases: a voice assistant that helps shoppers locate products and add them to their cart; an internal support chatbot that pulls order status or inventory data on demand; a marketing bot that recommends personalized products based on browsing history and current promotions. By abstracting the underlying OCC complexity, developers can focus on crafting engaging conversational experiences rather than wrestling with API intricacies.