MCP is the boring connector layer agents needed before everyone built the same adapter pile twice

It sounds small until you count how many times your team has written the exact same connector in different outfits. The Model Context Protocol announced by Anthropic provides a client-server pattern to expose data to AI applications. Before this shared protocol, every assistant integration was a bespoke little bridge: one for GitHub, one for Postgres, and one for that cursed internal tool Dave built in 2018.

By standardizing the connector layer, MCP moves the conversation from jamming tools into an assistant to exposing capabilities cleanly. This doesn't magically solve auth, rate limits, or the ever-present threat of prompt injection—in fact, it makes them more critical because the integration surface is now reusable. Reusable sharp objects are still sharp.

When you build an MCP server, you're effectively creating a product for agents. The interface design matters: tool names, parameters, and error handling have to make sense to a machine that operates with the confidence of a conference panelist. MCP won't make agents inherently safe by default, but it makes the seams of your architecture clearer. And for developers, clear seams are exactly where you put the logs, permissions, and the emergency kill switch you'll inevitably need.