AI agents become truly useful when they can interact with real systems rather than operate on text alone. In this session, the focus is on how the Model Context Protocol (MCP) can be used to connect AI agents to external tools and domain logic in a structured and maintainable way.

The talk introduces the core concepts behind MCP and explains how an MCP server is designed, implemented, and exposed to AI agents. Using a practical example from a board game platform, the session demonstrates how domain-specific functionality can be made available to an agent through well-defined tools and context, enabling meaningful interactions beyond simple prompt-based responses.

In addition to the implementation itself, the talk covers architectural considerations such as hosting, boundaries between agents and systems, and common pitfalls when integrating agents with existing applications. The goal is to provide a realistic view of what it takes to move from isolated agents to practical, system-aware AI integrations using MCP.

📢 29.01.2026
🌍 AgentCon Vienna, https://globalai.community/chapters/vienna/events/agentcon-vienna/