A deep-dive into the security posture of real-world AI agent deployments — and the open-source tool I built to fix it. TL;DR I collected 1,200 real MCP (Model Context Protocol) configuration files from public GitHub repositories, scanned them with an open-source security tool I built, and found that: 100% had security gaps 20.7% had CRITICAL or HIGH issues (hardcoded secrets, unauthenticated endpoints, unrestricted shell execution) 0 of 1,200 configured respo...