This is a security monitoring layer that sits between AI systems and watches for anomalies in real time. It detects 23 different types of suspicious behavior and aligns with OWASP's MCP Top 10 security guidelines. You'd use this when you need runtime protection for AI-to-AI interactions, catching things like prompt injection attempts, data exfiltration patterns, or unexpected model behavior as they happen. The source doesn't detail specific tools or APIs it monitors, but the focus is clearly on adding a security perimeter around model communication rather than logging after the fact.
claude mcp add --transport stdio nomadu27-insaits uvx insaits