Woro AI/Blog/AWS Machine Learning
AWS Machine LearningBuild a multi-account AI agent with AgentCore Gateway and MCP
· 1 min read · Summary from AWS Machine Learning
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 with secure cross-account access and fine-grained authorization.
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AWS released a way to build AI agents that can access data from multiple accounts while keeping each team's data isolated. The solution uses Bedrock AgentCore Gateway and MCP to provide a unified query interface across accounts.
Small business owners can keep sensitive data separate for security and compliance, yet still let AI tools pull insights from all sources. This reduces the risk of data breaches and simplifies governance while boosting automation.
Try setting up a multi‑account structure in WORO by creating separate data sources for each team and linking them through a central AI agent. Watch for how the platform handles cross‑account permissions and data privacy.