Rustベースのサーバーで、Wazuhセキュリティ情報・イベント管理(SIEM)システムと、Claude Desktop Integration(モデルコンテキストプロトコル(MCP)を用いてコンテキストセキュリティデータを必要とするアプリケーションとのギャップを埋めるために設計されました。

概要

Claudeのような現代のAIアシスタントは、ユーザーのセキュリティ環境に関するリアルタイムのコンテキストから大きな恩恵を受けることができます。Wazuh MCPサーバーは、自然言語を通じてWazuh SIEMデータへの包括的なアクセスを提供することで、このギャップを埋めています。

このサーバーは複雑なWazuh API応答をMCP互換形式に変換し、AIアシスタントが以下にアクセスできるようにします:

• 脅威検出およびインシデント対応のためのWazuh Indexerによるセキュリティアラート&イベント
• エージェント管理および監視(健康状態、システムプロセス、ネットワークポートを含む)
• リスク管理およびパッチ優先順位付けのための脆弱性評価データ
• セキュリティルールと設定:検出最適化およびコンプライアンス検証
• システム統計およびパフォーマンス 運用監視および監査トレイルのための指標

Wazuh MCP Server - Talk to your SIEM

A Rust-based server designed to bridge the gap between a Wazuh Security Information and Event Management (SIEM) system and applications requiring contextual security data, specifically tailored for the Claude Desktop Integration using the Model Context Protocol (MCP).

Overview

Modern AI assistants like Claude can benefit significantly from real-time context about the user’s security environment. The Wazuh MCP Server bridges this gap by providing comprehensive access to Wazuh SIEM data through natural language interactions.

This server transforms complex Wazuh API responses into MCP-compatible format, enabling AI assistants to access:

• Security Alerts & Events from the Wazuh Indexer for threat detection and incident response
• Agent Management & Monitoring including health status, system processes, and network ports
• Vulnerability Assessment data for risk management and patch prioritization
• Security Rules & Configuration for detection optimization and compliance validation
• System Statistics & Performance metrics for operational monitoring and audit trails
• Log Analysis & Forensics capabilities for incident investigation and compliance reporting
• Cluster Health & Management for infrastructure reliability and availability requirements
• Compliance Monitoring & Gap Analysis for regulatory frameworks like PCI-DSS, HIPAA, SOX, and GDPR

Rather than requiring manual API calls or complex queries, security teams can now ask natural language questions like “Show me critical vulnerabilities on web servers,” “What processes are running on agent 001?” or “Are we meeting PCI-DSS logging requirements?” and receive structured, actionable data from their Wazuh deployment.

This approach is particularly valuable for compliance teams who need to quickly assess security posture, identify gaps in monitoring coverage, validate rule effectiveness, and generate evidence for audit requirements across distributed infrastructure.

Example Use Cases

The Wazuh MCP Server provides direct access to Wazuh security data through natural language interactions, enabling several practical use cases:

Security Alert Analysis

• Alert Triage and Investigation: Query recent security alerts with get_wazuh_alert_summary to quickly identify and prioritize threats requiring immediate attention.
• Alert Pattern Recognition: Analyze alert trends and patterns to identify recurring security issues or potential attack campaigns.

Vulnerability Management

• Agent Vulnerability Assessment: Use get_wazuh_vulnerability_summary and get_wazuh_critical_vulnerabilities to assess security posture of specific agents and prioritize patching efforts.
• Risk-Based Vulnerability Prioritization: Correlate vulnerability data with agent criticality and exposure to focus remediation efforts.

System Monitoring and Forensics