Chaplin: Open-source AI agent for AWS Health analytics using Bedrock
Ask your AI assistant about upcoming RDS lifecycle events across 50+ accounts in natural language.
AWS Health analytics now includes Chaplin, an open source solution that uses AI agents powered by Amazon Bedrock and exposed through the Model Context Protocol (MCP). Teams ask natural-language questions via MCP-compatible assistants like Claude Code or Kiro CLI—about RDS deprecations, EC2 retirements, or security patches—and get precise answers without depending on AWS Support for routine analysis. Chaplin’s multi-agent architecture addresses the challenge of combining structured and unstructured data processing. It can also be combined with other MCP-enabled tools like JIRA, GitHub, or ServiceNow in workflows to perform actions with an agentic experience.
- Chaplin exposes AI tools via MCP, compatible with assistants like Claude Code and Kiro CLI for natural language queries.
- It combines structured AWS Health data with business context (tags, environment, ownership) for enriched analysis.
- Integration with JIRA, GitHub, and ServiceNow enables automated remediation directly from health event insights.
Why It Matters
Enables ops teams to self-serve health insights, reducing TAM dependency and speeding critical operational decisions.