Agentic Product Voice App

Example Use Cases

• 1

  Voice-enabled natural language product search and recommendations.

• 2

  Conversational AI with retrieval-augmented generation grounded in product data.

• 3

  Lightweight, in-memory semantic search integrated with LLM function calling.

Description

This MCP server implements a FastAPI backend exposing product catalog functions, semantic search, and retrieval-augmented generation (RAG) for conversational AI. It supports JSON-RPC 2.0 for tool invocation and uses in-memory vector search for fast, lightweight semantic queries. The system enables decoupled domain tools with a Next.js host orchestrating voice transcription, LLM function calling, and chat interface, providing a scalable and reusable product search assistant.