An MCP server that connects language models to a Wazuh SIEM cluster, enabling read-only plain-language queries, schema inspection, field coverage analysis, and decoder testing.
An MCP server that enables conversational interaction with Wazuh SIEM, allowing users to investigate alerts, hunt threats, tune false positives, edit rules, and run security actions via natural language.
AI-powered MCP server that enables security analysts to query Wazuh SIEM/XDR for alert triage, threat hunting, compliance audits, and incident response through natural language prompts.
A Model Context Protocol server that facilitates integration with OpenCTI, allowing users to query and retrieve cyber threat intelligence data via a standardized interface.
A Model Context Protocol server implementation that enables natural language interactions with OpenSearch clusters, allowing users to search documents, analyze indices, and manage clusters through simple conversational commands.