The repository adopts a server-client architecture where the MCP server acts as an intermediary between AI assistants (clients) and Azure Data Explorer. It uses a modular design, separating server logic, main application, and database interaction. The project structure facilitates organized development with clear separation of concerns, enhancing maintainability.