Learn to build a Model Context Protocol (MCP) server for Aurora databases through live coding demonstrations and practical implementation guidance. Discover how to create secure AI agent integrations that maintain controlled database access without granting full permissions to large language models. Explore key architectural considerations for safely enabling LLMs to interact with your Aurora-based applications while maintaining predictable behavior. Follow along with hands-on coding examples that demonstrate the complete process of building an MCP server tailored to your specific requirements. Gain insights into best practices for integrating AI agents with database systems while ensuring robust security measures and controlled access patterns.