Wazuh-MCP-Server and mcp-security-hub

These are complements: Wazuh-MCP-Server provides defensive SIEM analysis and incident response, while mcp-security-hub provides offensive security tools (reconnaissance, vulnerability scanning, exploitation testing), so they address different phases of a comprehensive security testing workflow that could be used together.

Wazuh-MCP-Server
57
Established
mcp-security-hub
52
Established
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 10/25
Adoption 10/25
Maturity 13/25
Community 19/25
Stars: 137
Forks: 39
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 461
Forks: 63
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About Wazuh-MCP-Server

gensecaihq/Wazuh-MCP-Server

AI-powered security operations for Wazuh SIEM—use any MCP-compatible client to ask security questions in plain English. Faster threat detection, incident triage, and compliance checks with real-time monitoring and anomaly spotting. Production-ready MCP server for conversational SOC workflows.

This project helps security operations teams manage their Wazuh SIEM more efficiently. It allows security analysts to ask plain English questions about alerts, threats, and vulnerabilities, and receive actionable responses. By connecting to any AI assistant, security teams can investigate security events, hunt for threats, and perform incident response actions using natural language.

Security Operations Threat Detection Incident Response Vulnerability Management Compliance Monitoring

About mcp-security-hub

FuzzingLabs/mcp-security-hub

A growing collection of MCP servers bringing offensive security tools to AI assistants. Nmap, Ghidra, Nuclei, SQLMap, Hashcat and more.

This project provides pre-configured servers that connect popular offensive security tools like Nmap and Ghidra to AI assistants such as Claude. It takes natural language commands as input from your AI assistant, executes the specified security scan or analysis, and returns the results to the assistant. This is designed for cybersecurity professionals, penetration testers, and security researchers looking to leverage AI for automating security assessments and vulnerability discovery.

cybersecurity penetration-testing vulnerability-scanning binary-analysis threat-intelligence

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