HEMA 借助 MCP 与 Amazon Bedrock 打造内部 AI 助手 HAL
原标题：From portal-hopping to instant answers: HEMA’s journey with MCP and Amazon Bedrock
AI 摘要
荷兰零售商 HEMA 为工程师构建了内部 AI 助手 HAL，解决内部知识分散、需要跨多个门户查找答案的问题。HAL 基于 Amazon Bedrock AgentCore 构建，并通过 Model Context Protocol (MCP) 将知识以标准化工具形式暴露给 HAL 聊天、Kiro、Claude 等客户端，实现从 IDE 或聊天窗口即时获取答案。安全方面使用 Microsoft Entra ID 认证，客户端不保存 AWS 凭证，目前为只读访问，未来计划将 HAL 从知识层扩展为可执行操作层。
正文节选
From portal-hopping to instant answers: HEMA’s journey with MCP and Amazon Bedrock This post is co-written with Mauro Rallo and Patrick van der Plas from HEMA. When engineers at HEMA needed an answer, they went portal-hopping, navigating disconnected wikis, service catalogs, and IT portals to find it. To turn that friction into instant answers, the 100-year-old Dutch retailer built a knowledge layer on Amazon Bedrock AgentCore. HEMA has over 750 stores across multiple countries, served by a tech