In a broad collaboration, Oracle and Microsoft are integrating Oracle AI Database services, MCP, GitHub Copilot, Azure OpenAI Service, Microsoft Foundry, and Microsoft IQ within Azure-native workflows to power AI-enabled enterprise applications.

Oracle AI Database@Azure unifies fragmented enterprise data, AI pipelines, and vector infrastructure by bringing together data access, orchestration, analytics, observability, and governance in a single architecture.

The partnership emphasizes a seamless developer experience for building enterprise AI apps, enabling Oracle data to work with AI agents and workflows through familiar tools and governance frameworks.

Oracle AI Vector Search lets embeddings live in Oracle AI Database and be queried via SQL, enabling Retrieval Augmented Generation without separate vector stores or complex pipelines.

Oracle Autonomous AI Database Serverless provides a fast, low-friction path to create AI-enabled apps using Oracle AI Database with Azure AI services, including minutes-long provisioning, vector search, JSON APIs, semantic retrieval, and Azure integrations.

OCI Managed MCP Service delivers HTTPS-based MCP servers integrated with OCI identity and governance tools, validated SQL Reports, and centralized administration to support AI agents and developer tooling.

Microsoft Build sessions and an Oracle presence at Build 2026 highlight three in-depth sessions on Oracle AI Database@Azure, MCP, and GitHub Copilot; analytics with Oracle Data Science Agent and Azure OpenAI; and moving from data to intelligence with Oracle MCP and Microsoft IQ.