Understanding MCP

Brian Zurawski

12 May, 2026 - Updated 2 days ago

AI Connect

Understanding MCP (Model Context Protocol)

The open standard that lets AI assistants like Claude connect securely to external software.

If you've started exploring AI assistants for business use, you've probably run into the term MCP. Here's what it means and why it matters for how TimeTrakGO's AI Connect works.

The Short Version

MCP stands for Model Context Protocol. It's an open standard developed by Anthropic that gives AI assistants a structured, secure way to talk to external software. Think of it as a common language that lets an AI ask a system for data and get a reliable answer back.

Without MCP, an AI assistant only knows what's in its training data or what you paste into the chat window. With MCP, it can reach into a connected system, pull real information, and use that in its response.

Why MCP Matters

Before MCP, connecting AI to business software meant custom code, proprietary APIs, and inconsistent behavior across tools. MCP standardizes that handshake. Any AI assistant that supports MCP can work with any software that supports MCP, without either side needing to build a one-off integration.

That's what makes TimeTrakGO's AI Connect possible. We built MCP support into TimeTrakGO so that AI assistants like Claude can query your time data through a defined, stable interface.

How MCP Works in Practice

When you ask your AI assistant a question like "How many overtime hours did my team log this week?", here's what happens:

1 The AI assistant receives your question.

2 It identifies that it needs workforce data to answer.

3 It calls the appropriate TimeTrakGO MCP tool — in this case, the hours tool.

4 TimeTrakGO returns the data securely.

5 The AI assembles the answer and presents it to you.

You see none of this. From your end, you asked a question and got an answer.

Is MCP Secure?

Yes. MCP connections are authenticated, and the AI assistant only has access to the tools and data the integration exposes. With TimeTrakGO's AI Connect, that means your timekeeping data. The AI cannot access other systems, and it cannot make changes to your TimeTrakGO records.

You control the connection. You can revoke access at any time from within TimeTrakGO.

MCP and the Broader AI Ecosystem

MCP is gaining adoption quickly. Anthropic built it into Claude, and other AI platforms are following. TimeTrakGO's decision to build on MCP means AI Connect will work with more AI assistants over time, not just the ones available today.