The Trust Gap in AI Integration: Why MCP Standardization Isn't Enough

MCP successfully standardizes how AI systems integrate with tools and data, but the protocol addresses only the connection problem, not the trust problem. In production environments, explicit containment boundaries that define what each MCP server can access—and under what conditions—are essential to preventing cascading failures and costly data breaches, a critical safeguard that most tutorials overlook.