What are the requirements for running the server?
A running Wazuh server (v4.12 recommended) with API enabled, network connectivity, and an MCP-compatible LLM client like Claude Desktop.
@gbrigandi
基本情報
MCP Server for Wazuh SIEM
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-server-wazuh": {
"command": "docker",
"args": [
"pull",
"ghcr.io/gbrigandi/mcp-server-wazuh:latest"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A Rust-based server that bridges Wazuh SIEM data with MCP-compatible AI assistants like Claude Desktop. It transforms complex Wazuh API responses into structured security context, enabling natural language queries for alerts, agents, vulnerabilities, rules, and compliance data.
Install via pre-built binary, Docker image, or build from source with Rust. Configure environment variables for Wazuh API and Indexer credentials, then point your MCP client (e.g., Claude Desktop) to the server executable or Docker container.
A running Wazuh server (v4.12 recommended) with API enabled, network connectivity, and an MCP-compatible LLM client like Claude Desktop.
You can download a pre-built binary, pull a Docker image, or build from source with Rust. Configuration is done through environment variables for Wazuh API/Indexer host, port, and credentials.
Yes, it can be combined with Cortex MCP Server, TheHive MCP Server, and MISP MCP Server for enhanced threat intelligence, case management, and IOC enrichment.
It accesses data from both the Wazuh Indexer (alerts) and the Wazuh Manager (agents, rules, vulnerabilities, cluster health, logs, and statistics).

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