You'd reach for this when you need governance guardrails around AI agents in production. It gives you PII detection to catch sensitive data before it leaks, policy enforcement to keep agents within defined boundaries, and a kill switch when things go sideways. The compliance angle matters if you're in a regulated space where you need audit trails of what your agents are doing. Think of it as the control plane for AI operations: it won't make your agents smarter, but it'll keep them from doing things you'll regret later. Useful for any team moving beyond experimental AI work into actual production systems where mistakes have consequences.
claude mcp add --transport stdio torkjacobs-tork-governance -- npx -y @torknetwork/mcp-server