MCP, without the alphabet soup.

Think of MCP as a shared way for an AI application to discover and use tools and context provided by another system.

The pieces

The host is the AI application you use. Its MCP client communicates with a server. The server may expose tools that do things, resources that provide context, and prompts that offer reusable instructions. A server does not automatically give an assistant every capability of the underlying app.

What it changes

A supported connection can let an assistant work with information that was previously outside the chat. That access is meaningful: some tools read information and others change it. Understanding the difference matters more than memorizing the acronym.

Your first connection

Choose one task and use the publisher’s current instructions for your actual client. Confirm the publisher, account, transport and required permissions. Start with a harmless read on test data. Review the result before granting broader access.

When it is not the right choice

A manual export may be enough for occasional work. A deterministic automation may fit a recurring process with fixed rules. Use MCP when interactive access through an AI client is useful and you can manage the permissions.

Keep exploring

Updated October 7, 2026. Provider documentation can change.