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HEMA 基于 Amazon Bedrock 和 MCP 搭建内部 AI 助手 HAL

From portal-hopping to instant answers: HEMA’s journey with MCP and Amazon Bedrock

精选理由

HEMA 用 Bedrock AgentCore 加 MCP 做了个内部助手 HAL,员工查文档不用再开一堆门户,安全走 Entra ID,方案细节写得很全。

荷兰零售商 HEMA 在 Amazon Bedrock AgentCore 上构建了内部 AI 助手 HAL,把开发者往返多个门户查资料改成即时问答。HAL 采用 Model Context Protocol(MCP)把受管控的知识送进团队已有工具。客户端不存放 AWS 凭证,安全验证由 Microsoft Entra ID 统一管理。

图片来源 · AWS Machine Learning Blog
原文 · AWS Machine Learning Blog

From portal-hopping to instant answers: HEMA’s journey with MCP and Amazon Bedrock

HEMA, a 100-year-old Dutch retailer, turned developer portal-hopping into instant answers by building HAL, an internal AI assistant on Amazon Bedrock AgentCore. Using Model Context Protocol (MCP), HAL delivers governed knowledge inside the tools teams already use, with no AWS credentials on the client and security anchored in Microsoft Entra ID.