Build self-service AWS Health analytics to find actionable health insights with AI agents powered by Amazon Bedrock
AWS open-sources Chaplin: AI agents that turn AWS Health events into actionable insights via Model Context Protocol.
Why it matters
AWS is shipping agent-native tooling (via MCP) that lets enterprises self-serve on infrastructure health monitoring—a concrete example of agents moving from research to production infrastructure.
The key facts
9 to knowOpen source solution: Chaplin (Customer Health and Planned Lifecycle Intelligence Nexus)
Built on Amazon Bedrock for agent inference
Uses Model Context Protocol (MCP) for tool exposure
Self-service analytics for AWS Health events
Published June 25, 2026 on AWS ML blog
Open-source solution: Chaplin (Customer Health and Planned Lifecycle Intelligence Nexus)
AI agents exposed through Model Context Protocol (MCP)
Powered by Amazon Bedrock
Self-service health event analytics for AWS infrastructure
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: In this post, we show you how to build Chaplin (Customer Health and Planned Lifecycle Intelligence Nexus), an open source solution that uses AI agents exposed through the Model Context Protocol (MCP) to provide self-service health event analytics.