Technical Deep Dive 4: Part 2 Enabling AI: Microsoft Foundry, Microsoft Copilot Studio, & Oracle MCP

In Part 1, we made the case for grounding enterprise AI agents in Oracle Database and introduced Microsoft Foundry, Copilot Studio, and Oracle's MCP servers as the building blocks. Part 2 is where we put it all together — hands on the keyboard. We'll walk through the reference architecture in detail: how Oracle's MCP servers expose Oracle AI Database capabilities — SQL, vector search, and stored procedures — to any MCP-compatible agent, and how Microsoft Foundry and Copilot Studio consume those tools through the open MCP standard. We'll cover deployment topology, authentication flow, and how identity, row-level security, auditing, and policy controls carry through from the agent to the database. Then we'll demo it live. You'll see us build an agent in Microsoft Foundry and a second one in Copilot Studio, both grounded in the same Oracle AI Database via MCP. We'll run natural-language questions that translate to governed SQL, retrieve answers from vector and relational data side by side, and execute a transactional action — all while showing the audit trail and access controls at work.