What Is MCP?

Mobility leaders often describe the industry’s biggest challenge as “fragmented technology.” Multiple suppliers, multiple platforms, and multiple handovers make it hard to offer a unified digital journey. A concept gaining attention in the AI world — the Model Context Protocol (MCP) — may help address that. Here’s what we’re seeing, and why it’s worth watching.

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Why fragmentation is such a problem

Mobility programmes rely on a network of specialised partners. Each partner often uses its own system. That creates familiar frustrations:

  • siloed information
  • manual reporting
  • inconsistent updates
  • fragile integrations that break too easily

As mobility expectations rise, this fragmentation becomes a genuine barrier to progress.

Why MCP is entering the conversation?

Charles Leo, CCO of Asian Mobility Services captures the opportunity clearly: “The real opportunity lies in connecting the entire ecosystem. If systems can speak the same language, we can finally deliver the seamless, transparent experience clients have been promised for years.”

MCP is being explored as a potential “universal connector”: a standardized way for AI tools and platforms to interact with external systems. So, think of it less as “another system” and more as a shared language.

What MCP could unlock

If the standard matures, MCP may help:

  • streamline system-to-system communication
  • improve real-time visibility
  • strengthen reporting accuracy
  • reduce repetitive manual checks
  • support more dynamic AI-driven workflows

This aligns closely with how Voerman thinks about innovation: clarity, efficiency, and better experiences — without adding complexity.

A realistic perspective

It’s early. MCP needs wide adoption to deliver its potential. But the idea fits a clear industry need: smarter integration for a smarter future.