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
Basic information
MCP Server for Wazuh SIEM
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-wazuh": {
"command": "docker",
"args": [
"pull",
"ghcr.io/gbrigandi/mcp-server-wazuh:latest"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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