MCP: A Universal Port for AI
For a long time, connecting an AI to anything meant custom work. Want it to read your files? Build an integration. Your calendar? Another one. Every AI tool times every service meant its own one-off bridge — the same wasteful matrix the hardware world had before USB.
The Model Context Protocol (MCP) is the USB moment for AI. It’s an open standard — introduced by Anthropic, since adopted across the industry — that defines one common way for an AI to discover and use external capabilities. A service exposes what it offers through an MCP server; any AI that speaks the protocol can plug in. Your knowledge graph, your task tracker, your email, a database, a browser: each becomes a port the AI can connect to, instead of a project someone has to build.
Why this matters beyond convenience: standardized connections change what’s composable. When adding a capability is plugging rather than building, you stop designing around what’s feasible to integrate and start designing around what the work needs. A well-connected AI today is mostly assembled, not engineered — and the assembly is within reach of a small team, or one person.
One connection deserves to be first: the AI’s own memory. Wire the model to a knowledge graph and you’ve combined the two unlocks — a mind that can reach things, reaching first for what it knows.
Related
- AI Is Only as Useful as What It Can Reach — why connections are the real limit.
- A Knowledge Graph Is Shared Memory — the first port worth plugging.
- Skills Teach AI How — connections give reach; skills give method.