Industrial AI agent exploring an OPC UA information model through MCP tools. The illustration shows equipment, production operations, stator instances and copper batch relationships in a manufacturing environment, demonstrating how structured industrial data supports AI-driven traceability.

Industrial AI agents need more than access to raw data. OPC UA information models provide the structured context, types and relationships needed to interpret industrial information. Discover how MCP enables AI agents to explore these models, illustrated by an OOUAMiddleware manufacturing traceability demonstration.

OpenOpcUa – 2025‑2026 Evolution: Stability, Performance & Industrial‑Grade Reliability

OpenOpcUa – 2025‑2026 Evolution: A nine‑month transformation bringing stronger HA, faster VPI/VFI operations, optimized database connectivity, and a more resilient OPC UA server coreappear straightforward.
However, a frequent mistake is to assume that all OPC UA servers solve the same architectural problem.
In reality, OPC UA servers available on the market fall into very different categories, each designed for a specific role within industrial architectures.
Choosing the wrong category can introduce long-term limitations in scalability, maintainability, and information modeling.
This article highlights five common architectural mistakes when selecting an OPC UA server.