AI-Powered SQL Server: Transforming Database Management with AWS Kiro and MCP

Modern SQL Server environments are more complex than ever—demanding faster performance tuning, resilient architectures, and rapid problem resolution, while teams navigate increasing business demands. Traditional tools and manual workflows can no longer keep up, especially as businesses increasingly leverage Artificial Intelligence to automate tasks and achieve business goals.

In this session, discover how AWS Kiro, an AI-powered assistant with Model Context Protocol (MCP) servers, is transforming the way SQL Server professionals manage and troubleshoot databases. Unlike conventional processes, Agentic AI deploys autonomous systems capable of intelligent reasoning, dynamic planning, and adapting to evolving real-world scenarios. These intelligent agents are revolutionising industries, and database administration is no exception.

We’ll demonstrate how SQL Server users can boost productivity using Kiro CLI with MCP integration, leveraging natural language commands and context-aware automation to simplify routine database management tasks. From writing and optimising SQL queries to analysing schemas and suggesting performance improvements, these AI-assisted workflows make maintenance and optimisation faster and more efficient for professionals at all skill levels.

Join this session to see how AWS AI tools can transform SQL Server operations helping you automate repetitive tasks, streamline workflows, and focus on higher-value engineering work.

a) Generate and optimize SQL queries using natural language prompts to streamline development and reduce manual effort. b) Examine database schemas and produce documentation or visual diagrams for better visibility and maintainability. c) Identify and suggest performance improvements by leveraging execution plans, metrics, and context-aware automation. d) Automate routine database tasks and workflows to increase productivity and focus on higher-value engineering work.