Jaeger Previews AI-Assisted Troubleshooting and GenAI Trace Visualization
SALT LAKE CITY -- Jaeger, the CNCF-graduated distributed tracing project, is previewing its first integrated AI-assisted troubleshooting and generative AI (GenAI) observability capabilities at KubeCon + CloudNativeCon North America 2026. The experimental features are available in Jaeger v2.22. Ask Jaeger and Native MCP Tools The preview introduces Ask Jaeger, an The post Jaeger Previews…
Jaeger, a CNCF-graduated distributed tracing project, is previewing AI-assisted troubleshooting and generative AI (GenAI) observability capabilities at KubeCon + CloudNativeCon North America 2026. The experimental features, available in Jaeger v2.22, include an in-product natural-language assistant called Ask Jaeger and an opt-in Model Context Protocol (MCP) endpoint.
The AI assistant enables engineers to investigate traces conversationally, while the MCP endpoint provides tools for discovering services, examining errors, mapping service topology, identifying critical paths, and inspecting individual spans. The maintainers emphasize progressive disclosure, ensuring AI agents retrieve only the trace evidence required for each investigative step.
The architecture combines MCP, Agent Client Protocol (ACP), AG-UI, and OpenTelemetry, and works with any ACP-compatible agent. Developers can enable the experimental capabilities after downloading Jaeger and following the project's AI sidecar integration guide.
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