AI agents are showing up everywhere in the data stack, but are they giving you the right answers, at a reasonable cost, without a PhD in prompt engineering to set them up? Join Jeff Smith and SVP Kris Rice for an hour on all things Model Context Protocol (MCP) for Oracle AI Database.
We’ll cover what’s new with MCP for Oracle AI Database, then dig into the practical stuff: how to get correct results, keep token spend under control, and make the whole experience easy enough for your whole team - not just the AI power users. We’ll also break down context engineering essentials like AI Skills and database schema enrichment, and show how Trusted Reports (available through our MCP Servers) make natural language–to-SQL dramatically more reliable for business users asking questions of their data.
This session is LLM- and agent-agnostic, so the concepts apply no matter what model or agent framework you’re using.
Who should attend: DBAs and DevOps engineers, application developers, and business analysts who want faster, safer, more trustworthy answers from their data, no AI expertise required.
What we’ll cover:
- Latest updates on MCP for Oracle AI Database
- Getting accurate results from AI + your database
- Managing token budget and cost
- Context engineering: AI Skills and schema enrichment
- Trusted Reports for reliable, business-friendly NL2SQL
Whether you’re building agents, administering the database they run against, or just want better answers from a chat box, this session has something for you.
Duration: 1 hour
