AI & Machine Learning

What Is MCP? The Open Protocol Behind clariBI’s New Integrations

D Darek Černý
May 21, 2026 6 min read
A plain-English introduction to the Model Context Protocol — what it is, why it changes how AI tools talk to your stack, and what it means for clariBI users.

If you've heard the term "MCP" floating around AI tooling lately and quietly hoped it would go away — fair. There's a new acronym every quarter. But this one's worth understanding, because it changes how AI products like clariBI can talk to the rest of your stack.

What MCP actually is

MCP stands for Model Context Protocol. It's an open standard that defines how an AI tool talks to an external system — what it can ask for, what comes back, and how authentication works. Think of it as USB for AI integrations: one shape, many devices, plug-and-play.

Before MCP, every AI tool that wanted to read your Stripe data had to:

  1. Read Stripe's REST API docs.
  2. Write a custom client that handles Stripe's specific auth (publishable keys, restricted keys, OAuth, scopes).
  3. Handle Stripe's specific rate limits, pagination, retries, idempotency keys.
  4. Maintain that client every time Stripe changes anything.

And then do it all again for HubSpot. And Linear. And Notion. And every other tool. That's why most BI products either supported five integrations badly or spent five years catching up.

What changes with MCP

With MCP, the vendor publishes a server that already speaks the standard. The AI tool — clariBI in our case — talks to every MCP-capable vendor the same way. The shape of the request is the same. The shape of the response is the same. Auth is the same. Discovery is the same.

Result: when we add a new vendor to clariBI's catalog, we add a row in our database that points at the vendor's MCP server. We don't write a new client. We don't learn a new API. We don't ship a new release just for that one vendor.

What you actually see as a user

You see a list of vendors in your data sources page, each with a "Connect" button. You click. The vendor's authorization screen pops up. You approve read-only access. You're done. From that moment on, clariBI's AI engine can answer questions about that vendor's data — your Stripe revenue, your Linear backlog, your HubSpot pipeline — in plain English.

You don't pick endpoints. You don't write code. You don't paste tokens. The AI picks the right MCP tool for your question and runs it.

Why we care

For us, MCP means we can support 30 vendors today and 50 by year-end without becoming an "integrations company". For you, it means the next vendor you actually use shows up in clariBI within days of becoming MCP-capable, not after a roadmap planning cycle.

If you want the deep cut, see our MCP integrations feature page for the full vendor list, the auth model, and the security guarantees. Or just start a free trial and connect one — it takes under a minute.

D

Darek Černý

Darek is a contributor to the clariBI blog, sharing insights on business intelligence and data analytics.

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