5 Things That Go Wrong When You Run MCP Without a Gateway (And How Enterprises Fix Them)

Every MCP tutorial ends the same way. The demo works. The agent finds the tool, calls it, gets a result, and everyone in the meeting nods appreciatively. Then someone asks: "How do we do this with our actual users, our actual data, and our actual compliance team?" That's where the tutorial stops and the real problems start. MCP — the Model Context Protocol released by Anthropic in November 2024 and now backed by OpenAI, Google, and Microsoft — is a genuinely good standard. It solved a real problem: before MCP, every AI-to-tool connection was custom-built, non-transferable, and rebuilt from scratch by every team. MCP made tool connections reusable and interoperable. That's valuable. What MCP doesn't include is a governance layer. The protocol defines how agents connect to tools. It doesn't define who's allowed to connect, what they can do when they get there, how you know what happened, or how you stop a compromised tool from doing something it shouldn't. That's not a criticism of MCP —