Master the Model Context Protocol (MCP)

The future of AI integration is here. Join Kent C. Dodds' remote MCP workshop cohort and master the Model Context Protocol for next-gen AI apps.

The most exciting thing in software right now? MCP.
Instead of clicking through pages and menus and forms, users are beginning to engage with their favorite applications through natural language, voice, and AI agents.

But for AI to actually do anything useful, it needs more than just a chat box. It needs a structured way to understand and interact with your app's capabilities and your users’ data.
That's exactly what MCP provides: a standardized interface for building intelligent software. MCP defines how apps expose tools, resources, and context in a way that large language models (LLMs) and other agents can reliably call and consume.

My expert opinion is that MCP is not just a protocol. It's the new architecture of interaction.

I know what you're thinking: Isn't this just the latest round of hype? Why can’t I just wrap my existing APIs? Are people really using MCP in real-world scenarios?

Is it even possible to work on the bleeding edge…without cutting myself?

Here's 5 reasons why MCP is worth your time right now
MCP is useful now. Despite being new, it's already providing real value for real people. I'm using it personally to automate my workflows, and every day more enterprise software teams are jumping at the opportunity to make their agents more capable.

Yes, there's hype. But there's also substance. And progress is rapidly getting more substantial. The ecosystem is growing fast, with quality servers popping up every week. And you can be a part of it.

MCP UI brings the best of both worlds. Natural language interaction plus familiar graphical interfaces when needed. And easy, often automatic switching between them!

When you do MCP right, it creates a stellar user experience. When you do MCP right, it's not a bolt-on — although some have tried. A good MCP implementation rethinks how apps expose functionality in a world where LLMs are the new client.

MCP is still in its early days, but adoption is rapidly expanding. Developers who understand it now will be the ones shaping the future interaction layer of the web. Support in ChatGPT.com (the biggest consumer-focused AI agent), Claude.app, and all popular code editors demonstrates true investment.

Learn to design and ship a well-designed MCP server with my brand-new cohort workshop
Starting September 22nd 2025, I'm running a two-week intensive cohort learning experience covering four essential MCP workshops

MCP Fundamentals - Core architecture, principles, and building blocks
Advanced MCP Features - Real-world applications and advanced techniques
Authorization - Secure, authenticated AI interaction across networks with OAuth 2.1
User Interface (MCP-UI) - Rich interactive experiences beyond text
That's 4 workshops for less than the cost of 2!

You can tackle MCP with the same pragmatic principles you love from my Epic React and Epic Web courses. We'll focus on
Building incrementally, one concept at a time
Testing and validating as we go
Following proven software development principles like “make it work, make it right, make it fast”, “optimize for the unknown”, “pragmatism is more important than 'purity'” and others
In a guided learning environment using the same tools you're already familiar with
And if you've been busy building user interfaces for the past few years, you'll be able to use your existing skills to build MCP servers and excellent integrations.

You'll learn
How to create servers that leverage MCP's most useful features
The vocabulary to navigate the new MCP ecosystem
How to add UI for the best user experience
Authentication and user-specific data access
The latest features and techniques for building production-ready servers
And a lot more.

More: https://www.epicai.pro/cohorts/master-mcp