# How Eon built multi-cloud investigation with an MCP Gateway on Amazon Bedrock AgentCore

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/how-eon-built-multi-cloud-investigation-with-an-mcp-gateway-on-amazon-bedrock
> **Original Source**: [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/how-eon-built-multi-cloud-investigation-with-an-mcp-gateway-on-amazon-bedrock-agentcore/)
> **Author**: Dor Shaboy (undefined)
> **Published Date**: Tuesday, October 20, 2026
> **Category**: PRODUCTS
> **Tags**: AI, AWS ML Blog, products

## Executive Summary
Learn how Eon replaced per-tool credentials and local MCP processes across AWS, GCP, and Azure with a single authenticated Amazon Bedrock AgentCore gateway, giving more than 100 developers and autonomous agents unified access to production investigation and...



## Full Coverage
This is a guest post co-written with Roei Zavida from Eon

Independent software vendors (ISVs) building AI-powered products need to connect agents and humans to dozens of operational tools across clouds, each with different authentication models, network boundaries, and access policies. When those tools span AWS, GCP, and Azure simultaneously, the integration surface multiplies

This post describes how Eon used Amazon Bedrock AgentCore, a platform to build, connect, and optimize agents at scale, with any framework or model. Eon used it to replace per-tool credentials and local Model Context Protocol (MCP) processes with a single authenticated gateway. The result gives developers and autonomous agents unified access to investigation tooling across three clouds. New engineers now reach all their investigation tools in about two minutes instead of the two days it previously took to configure credentials and local MCP servers

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