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TutorialsAWS Machine Learning BlogFrom the source· Dor Shaboy·· 2 hours agoPicks

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

Who
Eon
What
described its implementation of a multi-cloud investigation gateway using Amazon Bedrock AgentCore
Quote
This post describes how Eon used Amazon Bedrock AgentCore, a platform to build, connect, and optimize agents at scale, with any framework or model.

What happened

Eon used Amazon Bedrock AgentCore to replace per-tool credentials and local MCP processes with a single authenticated gateway for investigation tools across AWS, GCP, and Azure. The implementation uses Cedar policies to separate human and agent permissions and IAM role assumption for cross-account access. Eon reports onboarding fell from roughly 2 days to about 2 minutes, with 100+ developers and approximately 10,000 sessions revealing tradeoffs around policy size, tool discovery, and OAuth compatibility.

Why it matters

The implementation offers a reusable pattern for centralized tool access, with concrete tradeoffs between dynamic tool listing, policy size, semantic search, and OAuth compatibility.

The story so far

Eon used Amazon Bedrock AgentCore to replace per-tool credentials and local MCP processes with a single authenticated gateway for investigation tools across AWS, GCP, and Azure. Eon reports that onboarding fell from roughly 2 days to about 2 minutes. The implementation uses Cedar policies to separate human and agent permissions and IAM role assumption to provide cross-account access. Eon said use by more than 100 developers across approximately 10,000 sessions revealed tradeoffs involving policy size, tool discovery, and OAuth compatibility.

Deployment engineeringMCP and tool useTutorials#Tutorials and practice#MCP and tool calling#Deployment and engineering

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