For the past few years, we have been finding our way when leveraging large language models in our solutions, integrating access to external data sources, and infusing them with tools.

This has led to many challenges along the way, which can now be addressed by using the model context protocol (MCP) for wiring up data and tools.

During his session, we’ll demystify MCP by exploring its purpose, architecture, and practical application. You'll learn how MCP enables precise model behavior tuning, contextual reuse across sessions and personas, and safe delegation of capabilities across teams.

After this session, you will be able to assess whether your LLM projects need the model context protocol.