Wazuh-MCP-Server
It adds an AI layer to a Wazuh SOC, automatically turning alerts into actionable recommendations using LLMs.
- •You already run Wazuh for log collection and need automated triage without hiring a full SOC team.
- •Your security team wants to enrich alerts with suggested remediation steps powered by OpenAI.
- •You want a plug‑and‑play server that listens to Wazuh alerts and replies with concise, human‑readable insights.
curl -X POST http://localhost:8000/alert \
-H "Content-Type: application/json" \
-d '{"rule": {"id": 5712, "description": "Multiple failed SSH logins"}, "srcip": "192.0.2.45", "timestamp": "2024-09-18T12:34:56Z"}'Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/wazuh-mcp-server && curl -fsSL https://workflowstacks.com/api/skills/wazuh-mcp-server/claude-skill -o ~/.claude/skills/wazuh-mcp-server/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Wazuh-MCP-Server is a large Python project (~58k lines across 148 code files, plus 140 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, BSD-3-Clause license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2main.pyWhere the program starts running
- 3requirements.txtDependencies and the commands it exposes
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/wazuh-mcp-server && curl -fsSL https://workflowstacks.com/api/skills/wazuh-mcp-server/claude-skill -o ~/.claude/skills/wazuh-mcp-server/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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