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Usage of AI Assistants and MCP for Data Engineering

Usage of AI Assistants and MCP for Data Engineering

Update: 2025-11-03
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AI that can actually help you build.


I had a blast interviewing Vojta Tuma, Field CTO at Keboola, on The Ravit Show, we discussed AI assistants and MCP for data engineering!


Here are a few key takeaways —


• MCP turns a chatbot into a teammate. It can use tools, call APIs, and take actions. That is why it matters for engineers.


• New workflows open up. You can sketch a pipeline in conversation, run a job, debug a failure, or trigger a transform from one place.


• Safety is built in. Step by step permissions. Full logs. Reviews and approvals before changes go live. Propose a fix, dry run it, then merge.


• The result is faster work without losing control. Less glue code. More time on the real problems.


Let developers, analysts, and data engineers ship faster—AI handles the heavy lifting, Keboola keeps it reliable -- https://bit.ly/46Fkvt1


Don’t forget to follow Keboola!!!!


#data #ai #keboola #mcp #theravitshow

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Usage of AI Assistants and MCP for Data Engineering

Usage of AI Assistants and MCP for Data Engineering

Ravit Jain