The Amazon Aurora DSQL MCP server integrates database operational tasks into AI coding assistants, allowing users to write queries, evolve schemas, and check compatibility without leaving their development environment. It addresses the need to switch between SQL clients, the AWS Management Console, and service documentation for cluster configurations and compatibility guidance. The server wraps database operations as discrete, schema-defined tools that MCP-compatible assistants such as Kiro, Claude Code, Codex, Cursor, Cline, and VS Code with Copilot agent mode can invoke. Amazon Aurora DSQL is a serverless, distributed SQL database offering active-active multi-Region availability and strong consistency through a standard PostgreSQL interface, handling capacity planning, sharding, and cross-Region replication. The Model Context Protocol (MCP) is an open standard defining how AI coding assistants communicate with external tools and data sources. When a user asks to show all tables in a cluster, the assistant calls a tool on the MCP server, which connects to the cluster, runs the actual query, and returns real results, providing deterministic responses grounded in live database state. The server also maintains awareness of the distributed transaction model, AWS Identity and Access Management (IAM) authentication, and PostgreSQL compatibility surface. The post covers setup, configuration, and practical integration patterns including schema-driven development, iterative query refinement, and multi-statement transaction handling through natural language, with examples using Kiro.