Artificial intelligence is reshaping how organisations create value from their data. Large language models, autonomous agents, and agentic workflows are moving rapidly from experimental projects into production systems — and they all need one thing above all else: reliable, governed, structured access to data.
The relational database, far from being displaced by the AI wave, has become more central than ever. Its foundational principles — structured schemas, ACID transactions, declarative queries, and rigorous access control — are precisely the properties that make AI outputs trustworthy and auditable. Against this backdrop, Mimer SQL occupies a uniquely compelling position: it is the only database management system that delivers 100% conformance to the international ISO/ANSI SQL standard while simultaneously being deployable from enterprise servers to deeply embedded IoT devices running on real-time operating systems.
This white paper explores the role of the relational database in AI-centric architectures, examines the Model Context Protocol (MCP) as a new integration layer for AI agents, and explains why Mimer SQL — with its unmatched standards compliance, minimal footprint, zero- maintenance architecture, robust security model, and MCP connectivity — is ideally positioned to serve as the trusted data hub at the heart of AI deployments of any scale.