Advertise with Us|Sign Up to the Newsletter

Hi ,

Welcome to WebDevPro #104.

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

But connecting them to your real systems, your APIs, databases, or business tools often turns into a mess of brittle integrations and hardcoded workflows. Adding new features can feel like starting over.

A new approach is changing that. The Model Context Protocol (MCP) is redefining how AI-powered apps discover, connect to, and use capabilities. It makes them more scalable, secure, and adaptable. It is not another SDK or framework. It is a way for tools and AI systems to work together as naturally as people do.

On August 30, join Christoffer Noring, Sr. Cloud Advocate at Microsoft, for a hands-on workshop where you will learn how to build and deploy with MCP. You will leave not just knowing what it is but with your own working implementation.

The Model Context Protocolis like a universal plug 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:

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

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

See you at the workshop!

Kinnari Chohan,

Editor-in-chief