In a nutshell: Chaplin leverages Amazon Bedrock agents via MCP to enable operations teams to independently analyze AWS Health Events and plan remediation measures.
AWS introduces Chaplin, an open-source solution that provides AI agents over the Model Context Protocol to independently analyze AWS Health Events without reliance on AWS Support. CTOs and operations teams can query and prioritize health notifications in natural language instead of waiting for TAMs.
Typically, enterprise operations teams receive multiple AWS Health Notifications on Mondays regarding Amazon Linux 2 EOL, RDS deprecations, and EC2 retirements across 50+ accounts. Without self-service analytics, teams cannot quickly distinguish which events affect production systems, which require immediate action, and what business impact each category has. The time spent on reaction could be used for innovation.
Chaplin (Customer Health and Planned Lifecycle Intelligence Nexus) is an open-source project that exposes AI agents over the Model Context Protocol (MCP). It enables teams to ask questions in natural language directly from MCP-compatible AI assistants such as Claude Code or Kiro CLI: upcoming RDS lifecycle events in the next 60 days, a priority list of open EC2 events by urgency, security patches for production environments, or maintenance windows affecting high-priority applications. The solution uses Amazon Bedrock as the agent engine and retrieves data via the AWS Health API and Amazon EventBridge.
The challenge so far: operations teams rely on Technical Account Managers (TAMs) for interpretation, which causes delays in critical decision-making. Business intelligence dashboards with predefined schemas cannot address dynamic questions and do not provide contextual insights at the operational moment. Teams spend significant time manually categorizing and prioritizing thousands of health events across multiple accounts and regions.
Chaplin closes this gap through agent-powered self-service analytics: teams can independently analyze health events, plan migrations, and assess operational impacts. Because Chaplin uses MCP, the solution can be directly integrated with other MCP-capable tools such as JIRA, GitHub, or ServiceNow. AWS will soon link health events directly with AWS Transform Templates, which Chaplin can leverage as a surface tool to prioritize actionable events and incorporate metadata such as resource tags and ownership information.
Deployment instructions can be found in the Chaplin AWS Health Agentic Assistant GitHub repository.
Source: aws.amazon.com · Published 25 June 2026
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