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Agentic observability with Amazon OpenSearch Service MCP Apps

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Image: AWS Machine Learning Blog

Amazon OpenSearch Service now supports MCP Apps, which return interactive visualizations alongside your AI agent's text responses. Learn how a single, locally run MCP server lets your agent move from alert to trace to logs to root cause in one conversation, and how you can verify every step inline without leaving your IDE.

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Observability agents are fast. They query alerts, correlate logs with traces, and produce a root cause hypothesis in minutes. The part that still takes time is verification. You read the agent’s text summary, open your observability tools in a browser, navigate to the trace waterfall, check the service map to scope impact, and cross-reference what the agent told you against what you see on screen. The agent saved you the query time. It did not save you the tab-switching, context-carrying,…

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