I built an MCP server on AWS Bedrock in 30 minutes. Here's the exact code.

MCP, a crucial AI infrastructure pattern developed by Anthropic and now managed by the Linux Foundation, enables AI agents to reliably use external tools. It uses a standardized interface, acting like USB-C for AI tools, allowing agents like Claude and Bedrock to discover and use tools defined on a server. The text provides a practical guide to building an MCP server that connects to AWS services like DynamoDB and S3. The tutorial includes steps for setting up a local server, testing with Claude Code, and deploying to AWS Bedrock AgentCore. Crucially, it emphasizes best practices like clear tool descriptions, limiting data returns, and handling tool failures gracefully. AWS's recent addition of stateful MCP support in AgentCore further enhances capabilities by enabling session context preservation, supporting features like elicitation and progress notifications. The summary also suggests next steps like adding more AWS tools and incorporating Bedrock Guardrails.