We're working on a way to make your AI agents more secure. Find out how and take our survey to get involved.
If your team is already using an AI agent — whether it is Claude Code, Cursor, ChatGPT, or something you built in-house — there's a good chance it's reaching into other tools on your behalf. It might be filing a ticket in your project tracker, posting to Slack, pulling a file from Google Drive, or looking something up in an internal system. Each of those connections usually needs its own login, its own API key, and its own trust decision, made one tool at a time.
That works fine for one agent and one tool. It gets messy fast once you have several agents talking to several tools — and it gets risky when nobody in the business can answer a simple question: what are our AI agents actually allowed to do, and what have they done?
That's the gap MCP Gateway is built to close.
The problem: AI agents don't have a front door
AI agents connect to outside tools using a fairly new, fast-spreading standard called MCP (Model Context Protocol). Think of it as the plumbing that lets an agent ask a tool to do something, like "create this issue" or "send this message." It's a great idea, but the catch is that most businesses have no single place to see or control that traffic. Every agent-to-tool connection is set up separately, with its own credentials, and once it's live, there's rarely a record of what the agent actually did, no easy way to say "this action needs a human to approve it first," and no cap on how much an agent can do before someone notices.
For a small or mid-sized business, that's a real problem. You want your team using AI agents because they save time, but you also need a straight answer for your customers, your auditors, or your own peace of mind about what those agents can touch.
The idea: one identity, one doorway, for every agent
MCP Gateway gives every AI agent in your business a single identity and a single doorway into every tool it needs — whether that tool is a public service out on the internet (like Slack, GitHub, or Atlassian) or something you run privately inside your own network. Instead of setting up a separate login for every agent-to-tool connection, your agent connects once to the Gateway, and the Gateway handles the rest.
In plain terms, here's what that unlocks:
- One login instead of many. An agent registers with the Gateway once and can reach your whole toolset from there — no separate setup per tool, per agent.
- You decide what an agent is allowed to do. Limit which specific actions each agent can take, instead of handing it broad access "just in case."
- The ability to add or remove a list of MCP servers per agent without agent code changes and redeployment. The restrictions apply right after the change is configured.
- A cap on usage. Set limits so an agent that goes off the rails stops at the Gateway instead of running up a surprise bill or hammering a system.
- A real record of what happened. Every MCP action an agent takes is logged, so "what did our AI agents do this month" has an actual answer. At the same time, we will not track thinking and reasoning by AI Agents or any actions taken outside of MCP protocol, like over A2A or any other protocol.
- Minimize agents' context by reducing the amount of tools loaded on every run. Let AI Agents load only the tools they really need. Avoid loading a full list of tools from MCP servers that just take context and are never invoked, resulting in higher bills.
- Nothing extra to set up, just plug in a single MCP entry per agent. Connecting external or internal MCP servers is simple. Configure one MCP server per agent, and you can drive everything from that configuration.
Why now
AI agents went from novelty to a daily tool for many businesses in a very short window, and the tools they connect to are multiplying just as fast. Getting ahead of that with a simple way to see, allow, and log what agents do isn't about slowing your team down — it's about being able to say yes to AI agents with confidence instead of crossing your fingers.
Tell us what matters most to you
We're building MCP Gateway toward a Beta, and we'd rather build the parts you'll actually use first. If you're already running AI agents — or planning to — take two minutes to tell us which capabilities matter most to your business, how you'd want agents to authenticate, and what usage or compliance controls you'd need to feel comfortable turning this on.
Tell us what you need from MCP Gateway →
Check the box to be notified the moment the Beta opens — your answers help decide what ships first.
Note: MCP Gateway (internally, the AI Agents Gateway) is currently in development. Capabilities described above reflect our current plans and may change before Beta and General Availability.
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