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SPEAKER

Jonas Bandi
IvoryCode GmbH

Jonas Bandi is a freelance developer, consultant and trainer. His current passion is bringing modern front-end development to traditional enterprise projects.

Coming from a Java & .NET background he is now primarily working with JavaScript, Angular & React. Jonas is currently building the web-stack for a leading wholesale supply company in Switzerland.

In the past years he shared his knowledge in dozens of in-house workshops at companies all over Switzerland. Jonas is also a lecturer at the University of Applied Sciences (BFH) in Bern.

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Model Context Protocol (MCP): The future of user interactions?
Conference (INTERMEDIATE level)

What if your users never visit your website again - and that's a good thing? As AI assistants become the primary interface for digital tasks, applications need a new way to be discovered and used. Enter the Model Context Protocol.

The Model Context Protocol (MCP and MCP-UI) might be the next revolution in "UI-programming". It might be the connecting link between the AI-hype and frontend programming.

The Model Context Protocol standardizes how AI can interact with external services, data, and tools.

MCP is currently generating significant excitement in the ecosystem of AI-assisted software development (Claude Code, Copilot, Cursor, etc.).

However, this presentation highlights the much greater potential of MCP: in a future world, MCP could make any applications and services accessible to any AI assistant.

The AI assistant could thus take on the role of today's browser: instead of interacting with web servers via the browser, future users could interact with MCP servers via their AI-assistant.

MCP is still in its infancy but is developing very rapidly.

In this presentation, we will use concrete code examples to look at how MCP works and what possibilities already exist today for implementing an interface to an application via MCP. And we will dive into MCP-UI, an emerging protocol to build rich, dynamic interfaces for agentic apps.

This talk is ideal for full-stack developers and engineering leaders interested in preparing their applications for an AI-first future.

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