---
title: "From portal-hopping to instant answers: HEMA’s journey with MCP and Amazon Bedrock"
slug: "hema-baut-mit-mcp-und-amazon-bedrock-einen-internen-ai-assistenten"
date: 2026-09-23
category: tech-pub
tags: [agents, amazon, microsoft]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/hema-baut-mit-mcp-und-amazon-bedrock-einen-internen-ai-assistenten
---

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

**Published**: 2026-09-23 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

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.

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## Summary

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.

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## Why it matters

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.

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## Key Points

- 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.

---

## Nauti's Take

HEMA shows a practical advantage of MCP: one assistant can serve internal knowledge inside existing tools instead of forcing developers to hop between portals. The limit is that this is an AWS case study, so costs, adoption numbers and failure rates stay vague. Mid-sized companies with scattered internal docs can borrow the architecture, especially the credential-free client setup, but should measure real time saved before scaling.

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## FAQ

**Q:** What is From portal-hopping to instant answers about?

**A:** 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.

**Q:** Why does it matter?

**A:** 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.

**Q:** What are the key takeaways?

**A:** 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.

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## Related Topics

- [agents](https://news.ainauten.com/en/tag/agents)
- [amazon](https://news.ainauten.com/en/tag/amazon)
- [microsoft](https://news.ainauten.com/en/tag/microsoft)

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## Sources

- [From portal-hopping to instant answers: HEMA’s journey with MCP and Amazon Bedrock](https://aws.amazon.com/blogs/machine-learning/from-portal-hopping-to-instant-answers-hemas-journey-with-mcp-and-amazon-bedrock/) - AWS Machine Learning Blog

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-09-24*