MCP is quietly becoming the platform

With Model Context Protocol (MCP) maturing into a solid platform, we're entering a new phase for AI.

The signal isn't the spec itself — it's the adoption pattern. Multiple companies are actively building both clients and servers on top of MCP at the same time. That two-sided investment is how real ecosystems start: nobody builds a server without expecting clients, and nobody ships a client without servers worth connecting to.

Why this matters for agents

Agents — autonomous, task-oriented systems capable of reasoning and acting on our behalf — have been limited less by model quality than by access: to tools, to data, to the systems where work actually happens. A common protocol turns every integration from a bespoke project into a commodity. That's the foundation agents needed, and it will drastically change how we interact with technology.

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The platform bets that win are rarely the loudest ones. They're the ones where the boring plumbing gets standardized — and everything interesting gets built on top.