# From Portal-hopping to Instant Answers: HEMA's Journey with MCP and Amazon Bedrock

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-09-23T18:41:09.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 140/100  
> **Primary Source:** [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/from-portal-hopping-to-instant-answers-hemas-journey-with-mcp-and-amazon-bedrock)  
> **Canonical Citation:** [https://spidits.com/timeline/from-portal-hopping-to-instant-answers-hema-s-journey-with-mcp-and-amazon](https://spidits.com/timeline/from-portal-hopping-to-instant-answers-hema-s-journey-with-mcp-and-amazon)

## Executive 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.

## Why It Matters (Strategic Analysis)
Integrating the Model Context Protocol with enterprise service catalogs resolves the friction of fragmented internal knowledge by serving contextual data directly into developer tools like Kiro and Claude. This establishes a scalable blueprint for leveraging existing organizational metadata without requiring custom client-side credential management.

## Referenced Coverage & Sources
- **[AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/from-portal-hopping-to-instant-answers-hemas-journey-with-mcp-and-amazon-bedrock)**: 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..._

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*Synthesized by SPIDITS AI Market Intelligence Desk. Track live AI news, model releases, and funding: [https://spidits.com](https://spidits.com)*