MCP and GenAI for Data

Hi everyone,

Henry here. For the past several months, I've been heads down researching and recording an exciting new topic: MCP (or Model Context Protocol). Why?

MCPs are the natural next step in building agents. MCP servers allow LLMs and other AI apps to connect to your tools, and everyone including Microsoft and OpenAI is adopting them.

The course just launched this week - check it out below!

In this issue:

• 🤝 In Partnership: AI for your advantage

• 📚️Newsletter Updates: MCP Masterclass

• 🤝 In Partnership: A smart start to your day

• 📚️Newsletter Updates: GenAI for Data Professionals

🤝IN PARTNERSHIP WITH HONEYBOOK

Get the tools, gain a teammate

• Impress clients with online proposals, contracts, and payments.

• Simplify your workload, workflow, and workweek with AI.

• Get the behind-the-scenes business partner you deserve.

Try HoneyBook for free

📚️ NEWSLETTER UPDATES

Course: MCP Masterclass - Complete Guide to Building MCP in Python

In this course, you’ll learn to build, publish, and host MCP servers and clients, working hands-on with Python SDK and the latest Streamable HTTP transport. Understand MCP architecture, explore its vast set of features, and develop real-world MCP applications.

What is MCP?

MCP is a standardized mechanism (i.e., protocol) for AI systems (like LLMs, agents, etc.) to interact with external systems (like APIs, tool logic, local processes, etc.). Think of it as a universal USB-C connector for AI systems and everything that needs to connect to AI systems.

Why MCP?

One word: standardization. Once you build an MCP Server, it can easily connect to thousands of different applications / LLMs / Agents that contain an MCP Client. Similarly, if you build an MCP Client, it can easily connect to tens of thousands of MCP Servers.

Why care about MCP right now?

• Rapid adoption. Microsoft, OpenAI, and Anthropic all standardised on MCP in 2025, and search interest has spiked.

• Action-oriented LLMs. MCP is the “USB-C” that lets agents and LLMs call real tools, APIs, and local processes without one-off glue code.

• Career leverage. Being able to design both MCP servers and clients means you can plug your business logic into any modern AI stack—or the other way around.

How to get:

• Just this course for $10 USD: click here

🤝SUPPORTED BY MORNING BREW

Business news as it should be

Join 4M+ professionals who start their day with Morning Brew—the free newsletter that makes business news quick, clear, and actually enjoyable.

Each morning, it breaks down the biggest stories in business, tech, and finance with a touch of wit to keep things smart and interesting.

Try it yourself (for free)

📚️ NEWSLETTER UPDATES

Course: GenAI for Data Professionals

Embed Generative AI into your data workflows and unlock new efficiencies as a Data Engineer or Data Professional.

This course will teach you how to integrate Generative AI across the data engineering lifecycle, enhancing tasks like data generation, analysis, storage, and visualization. Learn how to boost productivity and perform advanced data tasks with AI-driven automation.

How to get:

• Just this course for $10 USD: click here

• To get access to all courses for $19/m, click here

ℹ️ ABOUT US

The Intelligent Worker helps you to be more productive at work with AI, automation, no-code, and other technologies.

We like real, practical, and tangible use-cases and hate hand-wavy, theoretical, and abstract concepts that don’t drive real-world outcomes.

Our mission is to empower individuals, boost their productivity, and future-proof their careers.

We read all your comments - please provide your feedback!