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

- Company: Amazon (amazon.com)
- Announced: 2026-09-23T18:41:09+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://aws.amazon.com/blogs/machine-learning/from-portal-hopping-to-instant-answers-hemas-journey-with-mcp-and-amazon-bedrock/
- Record: https://forck.live/items/13459-from-portal-hopping-to-instant-answers-hema-s-journey-with-mcp-and-amazon
- Subject: Bedrock / Nova

HEMA, a Dutch retailer, built HAL, an internal AI assistant using Model Context Protocol (MCP) and Amazon Bedrock AgentCore, to consolidate fragmented knowledge across disconnected portals and wikis. The solution allows engineers and other roles to access procedural and infrastructure knowledge from tools they already use, such as IDEs and chat applications, reducing onboarding friction and context-switching.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/from-portal-hopping-to-instant-answers-hemas-journey-with-mcp-and-amazon-bedrock/:

> To turn that friction into instant answers, the 100-year-old Dutch retailer built a knowledge layer on Amazon Bedrock AgentCore. HAL puts knowledge in one place, and MCP delivers that knowledge inside the tools people already use (the HAL chat, Kiro, Claude, and other agents).

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