What if your Omnis application could work directly with AI tools like Claude or ChatGPT? Imagine your users asking:
“Create a new offer based on the customer requirements in this email” and the AI not only understands the request, but also retrieves data from your Omnis app and writes results back into it.
This session shows how to make that possible.
Mirko will introduce the underlying technology: Model Context Protocol (MCP). With MCP, you define a structured interface that allows AI systems to securely interact with your Omnis application. You’ll see how it works in practice and how to implement it yourself.
You will learn how to design and implement an MCP API for your own application, including:
Using a real application, Mirko will demonstrate how to implement MCP features such as:
Whether you are new to MCP or exploring AI integration, this session gives you a practical starting point. You’ll understand how to connect your Omnis application to AI systems and how to do it properly.
As an added bonus, you will receive a ready-to-use library with all required classes to help you get started quickly.
Backing up databases is crucial. Postgres offers options for different needs and situations, each with its own advantages and disadvantages.
In this session, you’ll learn about different backup approaches and which to select based on your needs:
If you are new to PostgreSQL and are wondering about all the backup possibilities after reading the Postgres manuals about utilities like pg_dump, pg_restore, pg_basebackup etc. then this is the session for you. The discussion will provide backup options that cover most situations.
Or if you already use postgres in production and already have some backup-techniques (of course you have!!) but want to hear about other possibilities.