SAN FRANCISCO – Elastic (NYSE:ESTC) announced the release of MCP Apps for Security, Observability, and Search, according to a press release statement issued today. The $5 billion software company, which generated $1.68 billion in revenue over the last twelve months with 17% growth, continues expanding its AI-native product offerings.
The applications enable users to perform security investigations, system diagnostics, and data searches within third-party AI tools including Claude, VS Code, GitHub Copilot, Goose, Postman, and MCPJam. The apps are built on the Model Context Protocol specification co-authored by Anthropic and OpenAI.
The MCP App for Security allows analysts to triage alerts, run ES|QL queries, investigate threats, and manage cases through interactive views. Features include alert severity grouping, process trees, case creation, attack chain correlation with MITRE ATT&CK mapping, and a query workbench with investigation graphs.
The Observability MCP App provides cluster and service health monitoring, anomaly detection with machine learning-powered explanations, interactive service topology graphs, and alert rule creation. The application displays metrics including pod memory consumption, service throughput, and node failure impact.
The Search MCP App enables users to build dashboards from natural language queries, with results rendered as interactive visualizations. Users can query and analyze data using ES|QL with inline results, and refine or export dashboards within the conversation interface.The product launch comes as Elastic’s stock trades at $48.50, down 44% over the past six months, though InvestingPro analysis suggests the company may be undervalued at current levels—placing it among opportunities on the most undervalued stocks list. The company maintains impressive gross profit margins of 76%, reflecting strong operational efficiency in its software business. InvestingPro offers 10 additional exclusive tips for ESTC, along with comprehensive Pro Research Reports that transform complex financial data into clear, actionable intelligence for over 1,400 US equities.
“Our customers are increasingly working inside AI-native environments,” said Ken Exner, chief product officer at Elastic. “With our MCP Apps, Elastic meets them there by bringing security, observability, and search workflows into the AI tools that they are using so that teams can investigate threats and diagnose systems without switching tools.”
The MCP Apps are available in public preview across supported platforms. Elastic provides search, observability, and security solutions built on its Search AI Platform.
In other recent news, Elastic reported fiscal third-quarter 2026 results that surpassed guidance across all key metrics, driven by customer commitments and consumption trends across its search, security, and observability products. The company also achieved FedRAMP High authorization for its Elastic Cloud Hosted service on AWS GovCloud, enabling U.S. federal agencies to deploy the service for high-impact workloads involving sensitive unclassified government data. This authorization represents the program’s most stringent security baseline, requiring over 400 security controls.
Analyst activity has been notable, with Cantor Fitzgerald reiterating a Neutral rating and a $66 price target following the strong quarterly results. Piper Sandler adjusted its price target for Elastic to $85 from $110, maintaining an Overweight rating, citing improved performance and a guidance raise that exceeded expectations. RBC Capital lowered its price target to $70 from $80 while maintaining an Outperform rating, viewing the company as favorably positioned within the AI infrastructure stack. Meanwhile, Goldman Sachs initiated coverage with a Neutral rating and a $50 price target, expressing concerns about the company’s ability to convert strategic relevance into sustained growth. These developments highlight the varied perspectives on Elastic’s future prospects among analysts.
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