想自己搭一个能查日志、搜文档、开工单的AWS支持机器人吗？看这篇教程，用Bedrock AgentCore和MCP协议，一套脚本搞定。
本教程教你使用Amazon Bedrock AgentCore构建AWS Support Companion。该智能体采用Strands Agents作为编排框架，通过Model Context Protocol (MCP)连接AWS服务。它能分析CloudWatch日志、检索AWS文档、查询AWS re:Post社区知识，并能创建支持案例。整个方案通过单个AWS CloudFormation脚本部署，并包含基于AWS Amplify的Web前端。
Build an AI-powered AWS support companion with Amazon Bedrock AgentCore
In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AWS services through the Model Context Protocol (MCP). By the end, you have a working agent that can analyze CloudWatch logs, search AWS documentation, query community knowledge from AWS re:Post, and create support cases, all from a single conversational interface. The solution deploys with a single script using AWS CloudFormation and includes a web frontend built on AWS Amplify for interacting with the agent.