What Is MCP and Why Does It Need a Gateway? A Practical Guide for AI Engineers

MCP (Model Context Protocol) standardizes how AI agents interact with external tools, eliminating the need for custom per-tool integrations. However, MCP alone lacks authentication management, access control, centralized logging, and governance features needed for production environments. An MCP Gateway fills these gaps by acting as a centralized layer between agents and MCP servers, handling OAuth flows, enforcing least-privilege access, providing observability, and enabling audit trails. The concept of a Virtual MCP Server — as offered by TrueFoundry — lets teams expose only approved tool capabilities from multiple MCP servers through a single curated interface, preventing excessive permissions and simplifying agent development at enterprise scale.