Combine Oracle AI Database@Azure, Oracle Managed MCP Servers, and Azure AI Services in a modern enterprise development workflow.
Enterprise application development is rapidly evolving toward AI-native experiences that embed semantic search, conversational interfaces, AI agents, and AI-driven automation directly into application workflows. These applications require real-time enterprise data access, orchestration, analytics, observability, and enterprise-grade governance within the same architecture. For many organizations, this remains difficult as operational data, AI pipelines, orchestration layers, and vector infrastructure often remain fragmented across disconnected systems.
Oracle AI Database@Azure addresses these challenges and enables developers to build AI-enabled enterprise applications using Oracle AI Database services, Oracle MCP, GitHub Copilot, Azure OpenAI Service, Microsoft Foundry, and Microsoft IQ within a familiar Azure-native workflow.
Want to know more?
Join Oracle at Microsoft Build 2026 online or in person. We will host three informative sessions.
- Build AI Apps with Oracle AI Database@Azure, MCP, and GitHub Copilot (June 3, 2:30pm PDT)
- Improving Analytical Models with Oracle Data Science Agent and Azure OpenAI (June 2, 12:40 PM PDT)
- Move from data to intelligence with Oracle MCP and Microsoft IQ (on demand)
Why is this important?
Microsoft and Oracle are combining their innovations to optimize the experience for enterprise app developers.
For example, Oracle recently announced the OCI Managed MCP Server. This is becoming increasingly important as an interface for connecting Oracle data with AI agents, assistants, and developer workflows. Oracle SQLcl now includes MCP support, allowing GitHub Copilot in VS Code to securely interact with Oracle Database using natural language workflows. Developers can now ask GitHub Copilot database questions, invoke Oracle MCP tools, generate and execute SQL through SQLcl, and return results directly to their IDE workflows, without switching between terminals, consoles, or cloud dashboards.
Oracle has extended these capabilities with OCI Managed MCP Services for Oracle AI Database. It provides an HTTPS-based MCP server integrated with OCI ID, managed toolset, validated SQL reporting, and central management. This enables AI agents, GitHub Copilot, Microsoft Foundry, and Microsoft IQ to securely interact with Oracle databases using enterprise identity, authorization controls, and a managed MCP infrastructure.
Oracle AI Vector Search complements these workflows by allowing developers to store embeddings directly within the Oracle AI Database, perform similarity searches using SQL, combine vector searches with relational enterprise data, and build search augmentation generation (RAG) applications without introducing a separate vector database or synchronization pipeline. This makes it easy to integrate GitHub Copilot, Azure OpenAI, Microsoft IQ, and AI agents with your current enterprise data, reducing infrastructure duplication and synchronization overhead.
Microsoft continues to innovate to deliver AI platforms, tools, and orchestration layers that power end-to-end enterprise AI applications that connect data sources like Oracle to intelligent agents and workflows. Microsoft IQ enables organizations to move beyond disconnected AI services to enterprise-scale intelligence where assistants, agents, analytical tools, and databases work together on business-critical data using shared context and governance. For developers, this means connecting application workflows directly to trusted Oracle enterprise data using AI-assisted tools and IQ orchestration.
Oracle Autonomous AI Database Serverless provides developers looking for a quick entry point a low-friction way to start building AI-enabled enterprise applications using Oracle AI Database and Azure AI services. Developers can provision databases in minutes through APIs or automated workflows and quickly start building applications using Oracle AI Vector Search, JSON API, Semantic Search, and Azure AI services.
If you’re building an AI application, modernizing your Oracle workloads on Azure, considering MCP, or looking for a practical way to connect your enterprise data to agent workflows, we invite you to attend a Microsoft Build session, stop by our booth, meet the Oracle team, see a demo, and discuss your specific questions or requirements.
