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Join us for an inspiring event as we dive into the world of MCP (Model Context Protocol) with two engaging sessions. In the first session, Richard Chirino from Dawn.Tech presents "MCP Servers for App Developers: The Good, The Bad, and the Challenges." This talk will explore the practical aspects and challenges of using MCP servers in app development, shedding light on best practices and potential pitfalls. The second session, "Building Your First MCP Server from Scratch," led by Rutger Roffel, Head of AI at New Nexus, will guide you through the creation of a robust MCP server, providing you with foundational skills to build and manage these essential components.
Whether you're a seasoned developer or just getting started, this event is designed to expand your skill set and boost your confidence in MCP server development. Let's innovate and grow together—RSVP now and secure your spot!
Preliminary schedule:
18:00 - Walk in, drinks, food, socialize
19:00 - Richard Chirino, iOS Developer @ Dawn Technology
This talk explores what MCP servers are and why they matter for mobile developers. We’ll start with the problem of fragmented AI integrations and limited context, then dive into how the MCP protocol works from Tools to Resources. You’ll see how different companies call similar concepts connectors, plugins, or skills, and how MCP brings them together under one standard. Through real demos, we’ll show how MCP servers can power smarter developer tools and mobile workflows. Along the way, we’ll discuss the good (interoperability), the bad (complexity), and the “sorry you ran out of context” moments, plus lessons, SDKs, and comparisons with Agents and RAG.

20:00 - Rutger Roffel, Head of AI @ New Nexus
Now that we understand what an MCP server is and what it stands for, it’s time to get hands-on! Join us for a live coding session where we’ll build an MCP server from scratch and explore its possibilities together, right on the big screen. You’ll see how to integrate MCP into your own software products to unlock the power of Large Language Models using your own (or your company’s) data.

20:45 - Closing, borrel

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