TL;DR
An MCP proxy forwards requests between AI agents and MCP servers — it handles transport, not governance. Fast to set up, hits a wall the moment you have more than one team or more than two servers
An MCP gateway adds identity, RBAC, audit trails, and per-tool policy enforcement on top of that routing layer — it's where your organization's actual AI policy gets enforced
We started with a proxy, got bitten by the exact things proxies don't handle, and ended up needing a gateway. This post is the thing I wish I'd read before making that call
When I first started wiring up MCP servers for our engineering team, I kept running into the term "MCP proxy" and wasn't entirely sure what it meant or how it differed from an "MCP gateway." Both sit between an AI client and MCP servers. Both forward requests. The difference looked like branding more than substance.







