About this project
Sentinel bridges the gap between passive AI chatbots and active infrastructure management. Built on the Model Context Protocol (MCP), it turns an LLM into an autonomous site reliability engineer, security analyst, and executive advisor — all in one. The system integrates real-time threat intelligence for IP reputation checks, live Grafana/Kubernetes diagnostics for outage triage, and a multi-agent "Boardroom" module where specialized CFO, CMO, and CTO agents independently assess strategic decisions using live company data. Every action that touches production — blocking an IP, rolling back a deployment — requires explicit human approval before execution, making Sentinel a demonstration of agentic AI that's both genuinely useful and safely constrained.