The Model Context Protocol (MCP) facilitates integration between AI systems and various data sources, including databases, APIs, and business applications. AWS has released open-source MCP servers for Amazon Aurora, Amazon DynamoDB, and Amazon ElastiCache to enhance developer productivity by allowing AI-assisted tools to access structured metadata. MCP standardizes connections between AI assistants and external environments, enabling intelligent suggestions and context-aware query assistance. Traditional development challenges include time spent on boilerplate queries and context switching between different database technologies, which MCP aims to alleviate. The MCP servers provide secure access to structured metadata and streamline the development process by integrating database context directly into development environments. Developers can utilize these servers to generate tests based on live metadata, monitor database performance, and troubleshoot issues efficiently. The MCP servers are available for local deployment using Docker and can be configured for various AWS database services.