Refrigerator Inventory Management

Example Use Cases

• 1

  Answer inventory-related queries using local database data.

• 2

  Integrate local AI models with backend applications for real-time data retrieval.

• 3

  A demo of MCP framework usage with Spring Boot and PostgreSQL.

Description

This MCP server demonstrates how to connect an AI chatbot powered by a local LLM (llama3.2 via Ollama) with a Spring Boot application for managing refrigerator inventory. It allows users to query inventory data stored in a PostgreSQL database and receive AI-generated responses based on local data, ensuring privacy and offline capability. The project showcases seamless integration between MCP client, server, and core application components, providing a practical example of local AI-driven inventory management.