Elastic Introduces Industry-First Embedded AI Experience for Security and Observability Operating Within Third-Party AI Tools
Elastic has announced 'MCP Apps for Elastic', an industry-first agent-native UI experience that integrates security and observability workflows directly into third-party AI tools like Claude and VS Code, leveraging the Model Context Protocol.
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- 📰 Published: April 24, 2026 at 00:00
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MCP Apps Integrate Elastic's Security and Observability Workflows into Third-Party AI Tools ―― Enabling Direct Data-Driven Actions and Leveraging Additional Search and Data Exploration Capabilities
Search AI company Elasticsearch K.K. (Headquarters: Chiyoda-ku, Tokyo, President: Ken Otani, hereafter Elastic) today announced MCP Apps for Elastic. MCP Apps for Elastic delivers the first agent-native UI experience for security and observability workflows across multiple third-party coding tools and chat clients. These new MCP Apps empower teams to conduct threat investigations, diagnose system behavior, and take data-driven actions directly within their current AI tools, eliminating the need to context switch between tools or stitch together disparate systems.
Built on the Model Context Protocol (MCP) app specification—an open standard jointly developed by Anthropic and OpenAI—these applications enable AI assistants to display fully interactive UIs directly within environments such as Claude, VS Code, GitHub Copilot, Goose, Postman, and MCPJam.
Today, most AI integrations are limited to conversational text. While suitable for simple queries, they fall short for visual and interactive workflows like alert triage, investigation graphs, dashboards, and distributed tracing. Elastic's MCP Apps eliminate this challenge by supporting security and observability on a live, AI-native UI where users can view, filter, and interact with data, allowing them to advance threat detection and system diagnostics without ever leaving the conversation.
Mandy Andress, CISO at Elastic, stated: "The MCP App for Elastic Security bridges the gap between automated detection and manual threat hunting. By directly integrating Elastic's security data into a single interface within Claude Desktop, we were able to surface a 'silent' threat—one that didn't trigger standard alerts but required immediate action—in less than an hour. This profoundly amplifies the capabilities of analysts."
Ken Exner, CPO at Elastic, commented: "An increasing number of our customers are working in AI-native environments. With MCP Apps, we are meeting this customer need by integrating security, observability, and search workflows into the AI tools they already use. This allows teams to investigate threats and diagnose systems without toggling between multiple tools. The answer is no longer just a summary; it's the workflow itself."
While early adopters of MCP Apps focused on productivity tools like Amplitude, Asana, Figma, and Slack, the Elastic Security MCP App empowers analysts to triage alerts, execute ES|QL queries, investigate threats, and manage multiple cases through an interactive view displayed directly within the conversation. Workflows such as alert lists, process trees, and investigation graphs remain fully interactive, allowing analysts to transition from questions to actions without tab switching or handoffs.
The MCP App for Security provides analysts with the following key features:
● Alert Triage: Severity grouping, AI-driven determination, process trees, and one-click case creation
● Attack Discovery: Mapping to MITRE ATT&CK, risk scoring, and correlated attack chains supporting bulk case creation
● Threat Hunting: ES|QL workbench featuring auto-executing queries, clickable entities, and investigation graphs
With the MCP App for Observability, customers...
Search AI company Elasticsearch K.K. (Headquarters: Chiyoda-ku, Tokyo, President: Ken Otani, hereafter Elastic) today announced MCP Apps for Elastic. MCP Apps for Elastic delivers the first agent-native UI experience for security and observability workflows across multiple third-party coding tools and chat clients. These new MCP Apps empower teams to conduct threat investigations, diagnose system behavior, and take data-driven actions directly within their current AI tools, eliminating the need to context switch between tools or stitch together disparate systems.
Built on the Model Context Protocol (MCP) app specification—an open standard jointly developed by Anthropic and OpenAI—these applications enable AI assistants to display fully interactive UIs directly within environments such as Claude, VS Code, GitHub Copilot, Goose, Postman, and MCPJam.
Today, most AI integrations are limited to conversational text. While suitable for simple queries, they fall short for visual and interactive workflows like alert triage, investigation graphs, dashboards, and distributed tracing. Elastic's MCP Apps eliminate this challenge by supporting security and observability on a live, AI-native UI where users can view, filter, and interact with data, allowing them to advance threat detection and system diagnostics without ever leaving the conversation.
Mandy Andress, CISO at Elastic, stated: "The MCP App for Elastic Security bridges the gap between automated detection and manual threat hunting. By directly integrating Elastic's security data into a single interface within Claude Desktop, we were able to surface a 'silent' threat—one that didn't trigger standard alerts but required immediate action—in less than an hour. This profoundly amplifies the capabilities of analysts."
Ken Exner, CPO at Elastic, commented: "An increasing number of our customers are working in AI-native environments. With MCP Apps, we are meeting this customer need by integrating security, observability, and search workflows into the AI tools they already use. This allows teams to investigate threats and diagnose systems without toggling between multiple tools. The answer is no longer just a summary; it's the workflow itself."
While early adopters of MCP Apps focused on productivity tools like Amplitude, Asana, Figma, and Slack, the Elastic Security MCP App empowers analysts to triage alerts, execute ES|QL queries, investigate threats, and manage multiple cases through an interactive view displayed directly within the conversation. Workflows such as alert lists, process trees, and investigation graphs remain fully interactive, allowing analysts to transition from questions to actions without tab switching or handoffs.
The MCP App for Security provides analysts with the following key features:
● Alert Triage: Severity grouping, AI-driven determination, process trees, and one-click case creation
● Attack Discovery: Mapping to MITRE ATT&CK, risk scoring, and correlated attack chains supporting bulk case creation
● Threat Hunting: ES|QL workbench featuring auto-executing queries, clickable entities, and investigation graphs
With the MCP App for Observability, customers...