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
基本信息
MCP Server for Wazuh SIEM
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-wazuh": {
"command": "docker",
"args": [
"pull",
"ghcr.io/gbrigandi/mcp-server-wazuh:latest"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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