Integrates Model Context Protocol (MCP) servers with SQLite databases, enabling natural language interactions via LlamaIndex and Ollama-powered clients.
This project provides a robust framework for connecting Model Context Protocol (MCP) servers to SQLite databases, empowering natural language interactions through LlamaIndex and Ollama. It demonstrates how to expose database operations as accessible tools for Large Language Models, exemplified by both a basic people management demo and a sophisticated Human Resources Management System. The system allows users to manage employees, track leave, handle compensation, and perform analytics using intuitive natural language commands, effectively bridging LLMs with structured data.