IDUG EMEA 2026

AI agents are transforming enterprise applications, but they need access to trusted, business-critical mainframe data. This session shows how MCP servers enable agents to query up-to-date, replicated Db2 z/OS data from targets like Db2 LUW or watsonx.data. It covers the rationale for agent integration, architecture patterns, implementation steps, and a live demo of an agent working with z/OS data.

Enterprise database migrations are often slowed to a crawl by their reliance on flat files. Large volumes of data must be written to disk, moved across networks, and reloaded using traditional utilities—a process that is time‑consuming, storage‑intensive, and error-prone. In migrating a legacy Oracle environment on AWS RDS to a modern, containerized Db2 platform running on OpenShift, it became clear that a fundamentally different approach was needed—one that removes the disk from the equation altogether.
This session presents a high‑performance, zero‑disk migration approach that streams data directly from the Oracle source into Db2. It walks through how to set up Db2 Federation and automate nickname creation to establish a direct data pipeline. Rather than relying on conventional SQL processing, the approach feeds a federated cursor straight into the Db2 LOAD mechanism, allowing data to be written directly into target tables with maximum efficiency.
To make this solution practical at