AI Managed Shopping List

关于

This production-grade, full-stack AI application leverages the Model Context Protocol (MCP) to allow a Large Language Model (LLM) to manage a local PostgreSQL database via natural language. Built with a modern tech stack, it features a real-time dashboard and a specialized AI agent capable of complex entity extraction and partial inventory deductions, providing a seamless way to orchestrate inventory with conversational English.

主要功能

• Natural Language Orchestration: Add, remove, or list items using conversational English.
• Agentic Reasoning: Distinguishes between completing an item and deducting quantity using Groq (Llama 3.3).
• Model Context Protocol (MCP): Implements the 2025 standard for connecting AI models to local data sources via SSE.
• Real-time Inventory Dashboard: A sleek Midnight Black UI built with React & Tailwind CSS v4, auto-syncing with PostgreSQL.
• Dockerized Architecture: One-click deployment for the entire stack (Frontend, Backend, and Database).
• 0 GitHub stars

使用案例

• Demonstrating the Model Context Protocol for AI-driven database interactions.
• Automating inventory updates for consumed or purchased items.
• Managing personal or household shopping lists through conversational AI.