Wazuh-MCP-Server: AI-Driven SOC Automation

by INFOKOM-KI · MCP Server · ★ 100

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: CAUTION · quality 72/100

Flagged: sudo usage, install step in a code block runs a script from an untrusted host. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsblue-teamllmmcpmcp-serversecurity-automationsecurity-operations-centersecurity-toolssiemsoc

Quick Facts

Stars100
Forks25
LanguagePython
CategoryMCP Server
LicenseBSD-3-Clause
Quality Score72/100
Last Updated2026-11-06
Created2026-07-20
Platformsmcp, python
Est. Tokens~17k

About Wazuh-MCP-Server

Blue Team MCP Server (Wazuh SIEM) A defensive MCP server for Claude Desktop / any MCP client — the blue-team counterpart to offensive tooling. Exposes 100+ SOC tools across Wazuh SIEM, multi-provider threat intelligence, alert enrichment, MITRE-driven 3-Sum APT correlation, attack graphing, LangGraph investigation workflows, and host forensics. Read-only by default.

Compatible Skills

These tools work well together with Wazuh-MCP-Server for enhanced workflows:

  • ui-skill-lab — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)

Wazuh-MCP-Server alternative? Top 6 similar tools

Looking for a Wazuh-MCP-Server alternative? If you're comparing Wazuh-MCP-Server with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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