Wazuh-MCP-Server and mcp-audit
One is a security operations platform for Wazuh SIEM that uses AI to answer security questions, while the other audits AI agent configurations for secrets and shadow APIs, making them complementary tools where the latter can secure the AI-powered capabilities of the former.
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.
About mcp-audit
apisec-inc/mcp-audit
See what your AI agents can access. Scan MCP configs for exposed secrets, shadow APIs, and AI models. Generate AI-BOMs for compliance.
This tool helps security and compliance teams understand what information their AI agents can access before deployment. It scans configuration files from AI development tools to identify exposed secrets, API endpoints, and AI models. The output is a clear report, including AI-BOMs, that pinpoints potential security risks, enabling teams to remediate issues and ensure compliance.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work