An MCP gateway is a single control point that sits between your AI clients — Claude, Cursor, agents — and all the MCP servers they connect to. Instead of wiring each Model Context Protocol server directly into each app, you connect the clients to the gateway once, and the gateway brokers, governs, and logs every request to the tools behind it.

If you have used an API gateway, the mental model is familiar: one addressable entry point in front of many services, enforcing policy in a single place. An MCP gateway does the same job for AI tool access.

What an MCP gateway does

A gateway aggregates trusted MCP servers under one endpoint and takes over the production concerns that each individual server otherwise leaves to you:

  • Authentication & authorization — who and what is allowed to reach each tool.
  • Policy enforcement — allow, ask, or block specific tools, per client and per team.
  • Auditing — a single log of every tool call, instead of nothing.
  • Credential brokering — secrets live in one governed place, not scattered across config files.
  • Discovery — a catalog of approved servers people can actually use.

The agent no longer opens a connection to every tool it needs. It connects to the gateway, and the gateway is where control lives.

The problems it solves

Without a gateway, MCP adoption tends to create four headaches at once:

  • Connection sprawl — every person configures every server in every client, and no two setups match.
  • No governance — there is no single place to decide or change who can do what.
  • No visibility — once an AI has access, you have no record of what it did.
  • Unreviewed servers — anyone can connect a community server that never got a security look ( see Shadow MCP).

A gateway collapses all four into one managed layer.

Signs your team needs one

A single developer with one or two servers probably does not need a gateway yet. You likely do once any of these are true:

  • More than a couple of MCP servers are in play.
  • More than one person is connecting AI to tools.
  • Any connected system holds sensitive data or can take costly actions.
  • You need to answer “who can do what” or “what happened” — for security, compliance, or just peace of mind.

What to look for

Not all gateways emphasize the same things. When evaluating one, look for: security scanning of servers before they go live, per-tool allow/ask/block policy, role-based access for teams, a readable audit log, and setup simple enough that the governed path is also the easy path. A gateway nobody wants to use does not govern anything.

How gate approaches it: gate is an MCP gateway built control-first. It puts every server behind one URL, scans each one for prompt injection before it connects, lets you set allow / ask / block rules per tool and per team, holds sensitive actions for approval, and logs every call in plain language — for Claude, Cursor, and any MCP-compatible client.

The bottom line

An MCP gateway turns a pile of point-to-point AI-to-tool connections into one governed control plane. It is what takes MCP from “works on my machine” to something a team can run safely. If you are past your first couple of servers, it is worth putting one in front before the sprawl — and the risk — gets ahead of you.