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MobilePro #186: The Model Context Protocol Is Changing How We Build Agentic AI Apps

Why developers are turning to MCP for scalable, secure, and intelligent solutions — and how to get started today

Hi ,

Welcome to the 186th edition of MobilePro!

We have all seen the impressive demos. AI assistants that can code, summarize, plan, and collaborate almost like a teammate.

But when it comes time to connect them to your real systems, your APIs, databases, or business tools, things quickly become complicated. Integrations break. Capabilities are hardcoded into specific workflows. Scaling to new features often means starting from scratch.

A new approach is emerging that changes how AI-powered apps interact with the world around them.

It is not another SDK or framework. It is a shift in how we define, discover, and connect capabilities so that tools and AI systems can work together more naturally.

On August 30, we’re running a hands-on workshop with Christoffer Noring, Sr. Cloud Advocate at Microsoft, to show you exactly how to build and deploy with this new model. You’ll leave not just knowing what it is, but having implemented it yourself.

The Model Context Protocol (MCP) is like a USB Hub for AI.

Right now, most AI assistants live in their own bubble. They can reason well, but they can’t easily reach into your tools, databases, or services without custom, one-off integrations. That means every new data source or capability often means starting from scratch.

MCP fixes that by giving developers a single, open standard for connecting AI systems to the outside world. With MCP, you can securely expose capabilities (like “generate an invoice” or “pull customer history”) in a way that any compatible AI client, from an LLM-powered app to a VS Code agent, can discover and use instantly.

Think of it as a USB-C port for AI: one connection that works for everything, whether you’re plugging into a CMS, an API, or a cloud service. The result? AI assistants that are faster to build, easier to maintain, and able to do more in the real world.

So what does MCP actually look like in action? Here are a few places where it can make an immediate impact:

In each of these scenarios, MCP makes the connection once and lets it be reused anywhere. Once you’ve set up a capability, any MCP-aware client can find it, understand it, and use it. That’s why more developers are starting to see MCP not as another integration layer, but as a foundation for AI-ready applications.

Understanding the principles behind the Model Context Protocol is one thing. Turning those ideas into a functioning client–server setup is another. This is where the real value of MCP comes alive.

If you’re ready to go beyond reading about MCP and actually build something you can use, join our focused 2.5-hour workshop on August 30th with Christoffer Noring (Sr. Cloud Advocate, Microsoft).

As a bonus, you can grab your spot at 35% off with the code LIMITED35. But act fast, this special deal disappears on Monday, 18th August.

In one session, you’ll:

After this workshop, you’ll be able to:

📅 Date: August 30th

📍 Location: Live Online

⏱ Duration: 2.5 hours

This is for anyone building AI-powered tools or agentic apps:

A basic understanding of software development and AI concepts is recommended.

You’ll walk away with a better understanding of how to structure your systems, interact with tools programmatically, and deploy AI-native applications with confidence.

👋 And that’s a wrap. We hope you enjoyed this new format of MobilePro.

P.S.: If you have any suggestions or feedback, help us improve by sharing your thoughts. Click on the survey below.

Cheers,

Runcil Rebello,

Editor-in-Chief, MobilePro