MCP Gateway

Modern AI assistants don’t just answer questions from memory. They also access programs and databases, such as a calendar or a company’s customer file. To make this happen in a consistent way, there is an agreed communication standard called the Model Context Protocol, or MCP for short. An MCP Gateway is software that sits between the assistant and all these programs. All requests pass through this single gate instead of the assistant addressing each program directly. The gateway checks whether a request is allowed, forwards it, and records what happened.

Why companies don’t want to grant every access individually

Without a gateway, every assistant has to manage its own access itself. With three tools, that’s still manageable. With fifty tools and twenty teams, it turns into chaos. At that point, no one knows anymore which access key is where and who is using it.

This is exactly where the security problem lies. An AI assistant that is allowed to query a database can, in the worst case, also delete data. If it additionally reads texts from the internet, it can fall for hidden instructions. Experts call this prompt injection: an attacker hides commands in a document, and the model executes them. A gateway can block such dangerous actions from the outset.

On top of that, there’s the need for proof toward auditors. Banks, insurers, and government agencies must be able to demonstrate who accessed which data and when. A central gateway keeps this log automatically. Without this traceability, many companies aren’t even allowed to use AI tools in production.

What happens when a request is passed through

The assistant logs in to the gateway and first asks which tools are available. The gateway responds with a list that it puts together based on the user. An employee from sales sees different tools than someone from accounting. This selection process is called permission-based filtering.

When the assistant then sends a specific request, the gateway checks it in several steps. It verifies the sender’s identity, compares the action against the stored rules, and limits the number of requests per minute. Only after that does it use the appropriate access key and call the actual program. The key itself never leaves the gateway.

A comparison helps here: the gateway works like the reception desk in a large office building. Visitors don’t go straight to the offices; instead, they check in at the front. The reception checks the ID, issues a card for certain floors, and logs the visit. If a card falls into the wrong hands, it can be blocked from a single point.

Where MCP Gateways show up in products and news

The MCP standard was released by the company Anthropic in late 2024 and was subsequently adopted by many providers. Since then, cloud providers such as Microsoft, Amazon, and Google have offered their own gateway services. Open projects on the developer platform GitHub are also available free of charge. In business news, the term usually comes up in the context of secure AI adoption in companies.

The gateway should not be confused with an MCP server. The server is the individual tool, for example the connection to a ticketing system. The gateway is the management layer above it that bundles many such servers. Anyone running just a single application on their own laptop doesn’t need a gateway. As soon as multiple people and multiple systems are involved, it’s almost always worthwhile.