Exposes product catalog and semantic search as tools for an LLM agent, enabling natural language product recommendations based on intent rather than keyword matching.
Enables MCP clients to query synthetic retail inventory data through eight tools, covering stores, inventory levels, promotional events, sales transactions, recommendations, and sell-through metrics, with access scoped by Partner API keys.
Enables natural-language shopping queries on a fashion inventory flat file, with tools for searching products and recommending matching items via OpenAI.