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Model Context Protocol (MCP)

Clearly explained + Working example

The buzz is real. But what is Model Context Protocol, really?

MCP is changing the game in 2025—cutting through the noise of bloated prompts and brittle workflows by delivering lean, structured, real-time context to your AI agents.

But let’s skip the hype and show you how it works.

In this live, hands-on session, we’ll break down MCP in plain English and walk you through building a live MCP connector from scratch—plug it into an agent, watch it fetch real data, and see how it reasons with structured context. No slides. Just working code.

🔍 Why Attend?

✅ Demystify MCP: Learn how it pipelines real-time, structured context—without wasting tokens

✅ See how connectors handle auth, schemas, and live events across systems

✅ Watch a working example: Build a custom MCP server and plug it into an AI agent

✅ Walk away with starter code, tools, and everything you need to build your own connector

🧠 Who It’s For

  • Engineers building agent-native apps

  • AI product leads scaling beyond simple prompting

  • Architects mapping out long-term context strategies

🔧 Live Working Demo

From zero to live: build a bespoke MCP server, connect it to a public API, and see an LLM fetch, reason, and act—live.

 

→ Save your seat now—spots are limited.

One lunch break. Zero fluff. All signal.

Omar Shanti

CTO @ HatchWorks AI​

Omar Shanti, the new Chief Technology Officer at HatchWorks AI, is an award-winning innovator with extensive experience in AI, data architecture, and pioneering technology. With a strong background from Kin + Carta, Omar has led groundbreaking projects in Generative AI, MLOps, and Blockchain. At HatchWorks AI, he will drive the Generative-Driven Development™ methodology, focusing on AI-native solutions that enhance software development, boost operational efficiency, and unlock new revenue opportunities for clients.

Matt Paige

VP Strategy @ HatchWorks AI​

Matt Paige is VP of Strategy & Marketing at HatchWorks AI, where he leads go-to-market strategy, education, and community around AI-native software. As host of the Talking AI podcast and founder of HatchWorks AI Labs, he’s known for turning complex AI concepts into practical playbooks. With a background in business strategy and a passion for hands-on training, Matt helps teams—from startups to enterprises—build real capability in the age of intelligent software.

Josue Alpizar

Senior Solutions Architect, @ HatchWorks AI

Josue Alpizar is a Senior Solutions Architect at HatchWorks AI with over a decade of experience in full-stack development, cloud-native architecture, and scalable microservices. With deep expertise in AWS, .NET Core, and React, he leads foundational engineering efforts that power AI-driven platforms and reusable tools. Known for his hands-on approach and technical leadership, Josue plays a key role in shaping the infrastructure behind HatchWorks’ most advanced agentic solutions.

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