ON DEMAND WEBINAR: MCP and Skills

Anyone looking to deploy AI agents in production needs more than a powerful LLM. They need a robust architecture—one that scales, remains maintainable, and integrates seamlessly into existing system landscapes. This is precisely where the third webinar in our series comes in.

At the heart of the webinar is the Model Context Protocol (MCP)—an open standard that enables AI agents to communicate with external data sources, tools, and systems in a standardized way. MCP is what truly connects agents: to enterprise data, software environments, and the real world.

MCP is complemented by the concept of skills: structured knowledge and instruction modules that teach an agent domain-specific behaviour. Skills define how an agent should act within a particular context. MCP defines what it can interact with. Together, they form the foundation for robust, adaptable agentic systems.

What You’ll Gain in 30 Minutes

• MCP (Model Context Protocol): What it is, why it matters as a standard, and how it standardises the way agents connect to data sources and tools
• Skills: What are skills in the context of AI? How are they defined, structured, and provided to an agent?
• Interaction: Separating infrastructure (MCP) from behaviour (skills) as an architectural principle
• Plug-and-play agents: How modular architectures improve the maintainability and extensibility of AI systems
• Practical implications: What does this mean for IT teams and AI leaders building their own solutions?

Your Key Takeaways

An architectural understanding of robust, maintainable, and interoperable agentic systems—and the conceptual foundation for building sustainable AI initiatives of your own.

Our Speakers

Oliver Ruf Head of Consulting & Projects, Board Member & Partner

Prof. Dr. Andreas Martin  Visiting Applied AI Scientist

AI Webinar Series

In three 30-minute modules, Andreas Martin – Visiting Applied AI Scientist, PhD in Information Systems, and Professor of Applied AI at FHNW – provides a practical understanding of the most important AI developments of our time: from Large Language Models (LLMs) and Agentic AI to modern integration standards such as the Model Context Protocol (MCP).

• View the full AI webinar series