Build a multi-account AI agent with AgentCore Gateway and MCP
AWS drops a blueprint for multi-account AI agents using AgentCore Gateway and MCP—secure cross-account queries without sprawl.
Why it matters
A technical guide showing how to architect agents that span multiple AWS accounts while maintaining data isolation and fine-grained access control. Relevant to practitioners deploying agents in enterprise multi-tenant or decentralized environments.
The key facts
9 to knowAmazon Bedrock AgentCore Gateway supports multi-account architecture
MCP (Model Context Protocol) servers enable cross-account data exposure
Central platform account runs the agent; line-of-business accounts expose data
Fine-grained authorization and secure cross-account access built-in
Published Sep 24, 2026 — AWS blog deep-dive, not a product announcement
Amazon Bedrock AgentCore Gateway + MCP for multi-account agent architecture
Central platform account runs agent; line-of-business accounts expose data as MCP servers
Secure cross-account access with fine-grained authorization model
Published Sep 24 2026; AWS native tooling for enterprise agent governance
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Build a multi-account architecture that keeps each team's data in its own AWS account while giving AI agents a unified way to query across them. A central platform account runs the agent using Amazon Bedrock AgentCore Gateway and MCP, while line-of-business accounts expose their data as MCP servers…