An overview of the latest enhancements to our Oracle AI Database MCP Server, SQLcl. New tools & more control over how it runs (limited connections & commands).
Disclaimer: I have a hard time ‘unplugging’ from work. This post isn’t a humble-brag. I’m frequently asked what AI is ‘good for’ when it comes to databases. And since we have an MCP Server for Oracle AI Database, then I have some pretty good ideas on that. Yesterday I heard this on SQL optimization – And yes, it can be really good at SQL type tasks. But it’s more than just making ‘sql faster,’ its…
Having an LLM generate SQL on your behalf is one of it’s better party tricks. Let’s see how it managed my family’s online streaming historical data!
Question: can we build our own AI Agent and use your MCP Server to interact with our Oracle AI Database? Answer: Yes! See Anders’ Java example, it’s awesome!
Using SQLcl in SQL Developer extension for VS Code as an MCP Server for an AI Agent (Cline) – no need to manually download/configure SQLcl!
Use Oracle SQL Developer extension for VS Code and our MCP Server to annotate your data & assist your agents for more efficient NL2SQL interactions.
Advice for getting started with AI, Agents, & LLMs for your Oracle Database via our MCP Server, SQLcl.
Security, use cases, and providing context for your data.
Version 25.3 of our SQL Developer Extension for VS Code is now available, featuring couple of really nice new features and a TON of bug fixes.
Leveraging your database via AI is much more than a Natural Language to SQL task. Capturing the value of your data could literally transform your business!
Some advice around using LLMs to generate test data for your apps & reports, and how that can be easier with Oracle Database via our MCP Server.