Building a PostgreSQL database with Aiven & MCP
PostgreSQL is built on decades of active development, deep extensibility, and a query language that AI tools already generate fluently. This is why so many builders reach for it in modern web, analytics, and AI workloads.
Now, model context protocol (MCP) makes it easy to get started. Instead of manual schema wrangling, you describe what you need in plain English and get a working database. Join us to see just how easy it is to spin up a database with Aiven for PostgreSQL and MCP.
Here's what we'll cover:
- What managed PostgreSQL looks like on Aiven: 50+ extensions ready to switch on, multi-cloud deployment with no lock-in, automated backups, and storage that scales itself.
- A live build: we'll create a database from scratch with MCP, load a real dataset, and turn plain English into working SQL in PGStudio, with no manual schema wrangling.
You'll leave knowing whether Aiven for PostgreSQL fits your stack and where to go next.
