Powers an end-to-end voice and natural language product search with an AI chat assistant.
Sponsored
This project offers a complete voice and natural language interface for product catalog search and AI-driven chat assistance. It leverages Next.js as an MCP Host for LLM orchestration and Whisper transcription, alongside a FastAPI backend serving as a pure MCP Tool Server that provides structured product functions, semantic search, and Retrieval-Augmented Generation (RAG) capabilities. The architecture highlights the Model Context Protocol (MCP) by demonstrating how domain-specific tools remain decoupled from the host's AI and voice layers, creating a reusable and extensible backend for intelligent product interactions.
Key Features
01Model Context Protocol (MCP) Integration for decoupled components
020 GitHub stars
03Automatic Function Calling via Google Gemini 2.0 Flash
04AI Chat Assistant with RAG capabilities
05Voice and Natural Language Product Search
06In-Memory Vector Search for fast semantic product discovery
Use Cases
01Creating conversational interfaces for complex product data
02Building AI-powered e-commerce or product catalog assistants
03Demonstrating Model Context Protocol principles in action
