I'm building Zaturn, a free and open-source Model Context Protocol server that allows AI LLMs to connect to various data sources, run SQL queries on them, get insights, and make visualizations.
Here's what I'll be covering:
What is an MCP?
Why use MCPs for data analysis instead of directly uploading datasets to LLMs
Quick demonstration of Zaturn
Why open source?
A sneak peek into Zaturn's internal workings
Performance vs cost considerations for various LLMs
Security considerations
Checking AI accuracy
Participants will be able to analyze data using AI and FOSS tools
Analyzing data using without using any code
Analyzing data conversationally without using overwhelming GUI dashboards