Combine Oracle AI Database@Azure, Oracle Managed MCP Servers, and Azure AI services inside modern enterprise development workflows. 

Enterprise application development is rapidly evolving toward AI-native experiences that embed semantic retrieval, 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 because operational data, AI pipelines, orchestration layers, and vector infrastructure often remain fragmented across disconnected systems.  

Oracle AI Database@Azure addresses these challenges, enabling developers to build AI-enabled enterprise applications using Oracle AI Database services, Oracle MCP, GitHub Copilot, Azure OpenAI Service, Microsoft Foundry, and Microsoft IQ inside familiar Azure-native workflows. 

Want to learn more? 

Join Oracle at Microsoft Build 2026, online or in person. We’re hosting 3 information-packed sessions: 

  • Build AI Apps with Oracle AI Database@Azure, MCP, and GitHub Copilot (June 3, 2:30pm PDT)  
  • Improve analytic models with Oracle Data Science Agent and Azure OpenAI (June 2, 12:40pm PDT)  
  • Move from data to intelligence with Oracle MCP and Microsoft IQ (on-demand)  

Why is this important? 

Microsoft and Oracle are bringing their innovations together to optimize the enterprise app developer experience.  

For example, Oracle recently announced OCI Managed MCP Servers, which 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. A developer can now ask GitHub Copilot a database question, invoke Oracle MCP tools, generate and execute SQL through SQLcl, and return results directly into the IDE workflow without switching across terminals, consoles, or cloud dashboards. 

Oracle has extended these capabilities with OCI Managed MCP Service for Oracle AI Database, which provides HTTPS-based MCP servers integrated with OCI identity, governed toolsets, validated SQL Reports, and centralized administration. This enables AI agents, GitHub Copilot, Microsoft Foundry, and Microsoft IQ to securely interact with Oracle databases using enterprise identity, authorization controls, and managed MCP infrastructure. 

Oracle AI Vector Search complements these workflows by allowing developers to store embeddings directly inside Oracle AI Database, run similarity search using SQL, combine vector search with relational enterprise data, and build Retrieval Augmented Generation (RAG) applications without introducing separate vector databases or synchronization pipelines. This makes it easier to ground GitHub Copilot, Azure OpenAI, Microsoft IQ, and AI agents with current enterprise data while reducing duplicated infrastructure and synchronization overhead. 

Microsoft continues to innovate to provide the AI platform, tools, and orchestration layer that power end-to-end enterprise AI applications—connecting data sources like Oracle to intelligent agents and workflows. With Microsoft IQ, organizations can move beyond disconnected AI services toward enterprise-scale intelligence where assistants, agents, analytics tools, and databases operate together on business-critical data with shared context and governance. For developers, this means using AI-assisted tools and IQ orchestration to connect application workflows directly to trusted Oracle enterprise data. 

For developers looking for a fast entry point, Oracle Autonomous AI Database Serverless provides a low-friction way to begin building AI-enabled enterprise applications using Oracle AI Database with Azure AI services. Developers can provision databases in minutes through APIs or automation workflows and immediately begin building applications using Oracle AI Vector Search, JSON APIs, semantic retrieval, and Azure AI services.  

If you’re building AI applications, modernizing Oracle workloads on Azure, exploring MCP, or looking for practical ways to connect enterprise data with agentic workflows, we invite you to attend our Microsoft Build sessions and stop by our booth to meet the Oracle team, see a demo, and discuss your specific questions and requirements.