Why the MCP ecosystem matters

An agent is only as useful as the tools and context it can safely reach. Historically, every integration has been bespoke: a custom connector between one application and one tool, rebuilt for the next pair. That does not scale to a world of many agents and many tools.

The Model Context Protocol is an attempt to standardise that surface — a common way for agents and applications to discover, connect to and exchange context with tools and data sources. A shared protocol turns an N×M integration problem into something closer to N+M.

We care about this because interoperability is what makes an ecosystem compound. Closed, incompatible connectors fragment value; open protocols let it accumulate. Investing in the MCP surface is one of the most concrete ways we can contribute to healthy AI infrastructure today.

There is real engineering underneath the idea — identity, permissions, safety and reliability all have to be designed, not assumed. Those are the parts we find most interesting.