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by abchatterjee7 • Uncategorized
An MCP server that integrates an AI chatbot with a Spring Boot app to manage refrigerator inventory using a local PostgreSQL database.
Answer inventory-related queries using local database data.
Integrate local AI models with backend applications for real-time data retrieval.
A demo of MCP framework usage with Spring Boot and PostgreSQL.
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.