Integrating AI Agents – Connecting Distributed Systems and Data Using the Open Standard MCP

AI agents without integration into enterprise systems are toothless tigers: plenty of potential but practically harmless. The Model-Context Protocol (MCP) solves precisely this issue: as an open standard, it seamlessly connects AI agents with heterogeneous systems such as self-contained systems, microservices, or distributed data sources – essentially USB-C for AI. MCP makes integration feasible, especially for teams operating within complex, distributed system landscapes. We’ll explore practical examples of how MCP equips AI agents with the tools they need to operate effectively in the real world.

Date: 2026-03-10
Time: 13:15 - 14:00
Online Event: Software Architecture AI Day 2026

Speaker

Robert Glaser Head of Data and AI, Principal Consultant

As Head of Data & AI at INNOQ, Robert helps boards and development teams run the full AI marathon—from use-case discovery and portfolio scoring to pilots and production—without getting stuck in proof-of-concept-hell. He designs operating models where agent tooling, eval loops, and compute realities reinforce each other so ambitious ideas actually ship. He hosts the podcast “AI und jetzt”, takes his techno-philosophy blog and newsletter on stage in conference talks, and keeps prodding leaders to think of AI as a foundational technology instead of a mere tool. In his spare time he chases single-origin beans and new restaurants, insisting palate calibration is just another form of model evaluation.

Integrating AI Agents – Connecting Distributed Systems and Data Using the Open Standard MCP

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