Elastic delivers first embedded AI experiences for Observability and security inside third-party AI tools.
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Elastic delivers first embedded AI experiences for Observability and security inside third-party AI tools. April 21, 2026 MCP Apps bring Elastic's security and observability workflows into third-party AI tools, enabling teams to act on data directly where they work, with additional capabilities for search and data exploration SAN FRANCISCO-(BUSINESS WIRE)- Elastic (NYSE: ESTC), the Search AI Company, today announced MCP Apps for Elastic, delivering first-of-their-kind agent-native UI experiences for security and observability workflows across third-party coding tools and chat clients. The new MCP Apps enable teams to investigate threats, diagnose system behavior, and act on data directly within the AI tools they already use, without switching tools or stitching together separate systems. Built on the Model Context Protocol (MCP) apps spec, the open standard co-authored by Anthropic and OpenAI, these apps allow AI assistants to return fully interactive user interfaces rendered directly within environments such as Claude, VS Code, GitHub Copilot, Goose, Postman, and MCPJam. Most AI integrations today stop at conversational text. That works for simple queries, but breaks down for workflows that are inherently visual and interactive, including alert triage, investigation graphs, dashboards, and distributed traces. Elastic's MCP Apps close that gap by supporting security and...
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