by gensecaihq · MCP Server · ★ 216
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Wazuh MCP Server Talk to your SIEM. Query alerts, hunt threats, check vulnerabilities, and trigger active responses across your entire Wazuh deployment — through natural conversation with any AI assistant. v4.2.1 Changelog What This Does Your Wazuh SIEM generates thousands of alerts, vulnerability findings, and agent events daily. Investigating them means juggling dashboards, writing API queries, and manually correlating data across tools. This MCP server turns that workflow into a conversation: You: "Show me critical alerts from the last hour" AI: [calls getwazuhalerts] Found 3 critical alerts: SSH brute force from 10.0.1.45 → agent-003 (Rule 5712, Level 10) Rootkit detection on agent-007 (Rule 510, Level 12) FIM change /etc/shadow on agent-001 (Rule 550, Level 10) You: "Block that source IP on agent-003" AI: [calls wazuhblockip] Blocked 10.0.1.45 via firewall-drop on agent-003. You: "Which agents have u
| Stars | 216 |
| Forks | 60 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 78.3128085945785/100 |
| Last Updated | 2026-08-09 |
| Created | 2025-03-13 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~17k |
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Wazuh-MCP-Server is Production-grade MCP server for Wazuh SIEM — 55 security tools for alert triage, threat hunting, vulnerability management, compliance (PCI DSS, GDPR, HIPAA, NIST CSF, ISO 27001) and active response. C. It is categorized as a MCP Server with 216 GitHub stars.
Wazuh-MCP-Server is primarily written in Python. It covers topics such as active-response, ai, claude.
You can find installation instructions and usage details in the Wazuh-MCP-Server GitHub repository at github.com/gensecaihq/Wazuh-MCP-Server. The project has 216 stars and 60 forks, indicating an active community.
Wazuh-MCP-Server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Wazuh-MCP-Server on Agent Skills Hub include ai_for_the_win, mcp-audit, youtube-connector-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.