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Model Context Protocol

The Model Context Protocol (MCP) is an open standard that lets AI agents reach tools and data through one shared interface. Instead of custom code for each system, an agent speaks a single protocol. Security teams treat each MCP server as a new door in, so it needs the same review any API gets.

Also called: MCP, Model Context Protocol server, MCP server

Updated

Why the Model Context Protocol matters

MCP is becoming the common way AI agents plug into tools and data. That helps, because one standard replaces a pile of custom connections. It also means each MCP server is a fresh path into your systems, and paths in are exactly what security teams guard.

Where teams get it wrong

Some teams treat MCP as a developer detail, not a security one. But an MCP server is a lot like an API gateway. If you allow one, developers may connect many more without review. Each connection can carry real access to real data.

  • Review each MCP server the way you review any new API.

  • Keep a list of which servers are approved.

  • Limit what data and tools each server can reach.

  • Watch for new servers that show up without sign-off.

A simple example

A developer connects an agent to an MCP server that reaches the file system. It saves hours. It also gives the agent a way to read files far beyond its task. Nobody reviewed it first. Treating that server like any other API would have caught the risk.

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