When Your AI Assistant Can Actually Use Your BI Platform
WebMCP lets AI assistants work inside Plotono the way a skilled colleague would. Here's what that means for data teams and why stability made it possible.
Explore articles on building data pipelines, SQL transformations, BI dashboard design, and modern data team practices from the Plotono engineering team.
WebMCP lets AI assistants work inside Plotono the way a skilled colleague would. Here's what that means for data teams and why stability made it possible.
A technical breakdown of how we built 85 WebMCP tools across the Plotono platform, covering per-page lifecycle scoping, ref-based state bridges, and why stable platforms adopt emerging standards faster.
Compare the best data pipeline tools for 2026 including dbt, Airflow, Dagster, Prefect, Fivetran, and Plotono. Find the right tool for your data team.
Learn what data pipelines are, how they work, and why every data team needs them. Includes examples, architecture patterns, and tool recommendations.
Compare ETL and ELT data pipeline approaches. Learn the key differences, when to use each, and how modern tools are changing the ETL vs ELT debate.
Compare dbt and Airflow for data pipelines. Learn when to use each, when you need both, and when a unified platform replaces both.
The modern data stack promised best-of-breed tools. It delivered tool sprawl. Here's how to consolidate without losing capability.
Ready to unify your data stack? Contact our team to learn how Plotono can transform your data workflows.