Ecommerce Product Search Agent with MCP

Example Use Cases

• 1

  Perform context-aware e-commerce product searches using multiple data sources.

• 2

  Integrate with diverse tools and services via a standardized protocol (MCP).

• 3

  That require a structured cognitive approach to understand, remember, decide, and act on user queries.

Description

This repository implements a smart RAG agent that uses the Model Context Protocol (MCP) to connect seamlessly with various tools and data sources for e-commerce product search. The agent follows a structured cognitive process—Perception, Memory, Decision, and Action—to understand user queries, recall relevant context, plan actions, and execute tool calls via MCP. By standardizing interactions through MCP, it enables scalable, real-time, and context-aware product recommendations and search capabilities, breaking down data silos and simplifying integrations.