Integrates Model Context Protocol (MCP) servers with SQLite databases, enabling natural language interactions via LlamaIndex and Ollama-powered clients.
Sponsored
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.
主な機能
01Comprehensive HR Management System demo
02Tool-based approach for database operations
03Async support for both server and client
041 GitHub stars
05MCP server architecture with SQLite integration
06Natural language interface using LlamaIndex and Ollama
ユースケース
01Developing AI-driven natural language interfaces for databases.
02Implementing comprehensive HR management systems accessible via natural language.
03Demonstrating the Model Context Protocol (MCP) for LLM tool integration.