Building a data pipeline shouldn’t feel like assembling IKEA furniture without the manual. Yet for many teams, that’s the norm: engineers write code, analysts wait, and business leaders keep sending yet another email asking to see campaign results.

Let’s flip the script. What if you could say, “Pull Salesforce leads and match them with ad clicks,” and the pipeline just… appeared?

That’s what Keboola MCP Server delivers. It turns large language models into your AI-powered assistant for data operations.

Why Data Work Still Feels Stuck

Let’s say you’re a business user. You need:

  • Churn trends by customer segment.
  • A weekly lead quality report across all channels.
  • A campaign performance dashboard by region.

Here’s what happens: You describe what you want… but the system wants config files, transformations, and testing logic. You wait. Engineers scramble. Deadlines slip.

The core issue? Business intent doesn’t translate directly into technical execution. And that disconnect fuels frustration, delays, and endless backlogs.

MCP Server turns prompts into pipelines

The Keboola MCP Server bridges that gap.

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Built on the open Model Context Protocol (MCP) standard, it securely connects AI agents like ChatGPT or Claude to your Keboola environment. The result? You describe what you need in plain language — the AI handles the rest:

  • Pulling data from CRMs, warehouses, or APIs.
  • Composing transformations and outputs.
  • Executing and documenting workflows.

No code. No waiting. No compromise on control.

Think of it as conversational ETL, backed by enterprise-grade governance.

What Changes for You

1. You Prompt, It Builds

Skip the tickets and skip the queue.

Before: “Can you build me a flow that combines Salesforce and Google Analytics?”

Now: Just ask the AI assistant. It composes the entire pipeline on Keboola infrastructure.

2. Time-to-Insight Shrinks

Use cases that took days now resolve in minutes:

  • A consultant ran full RFM segmentation from a single prompt.
  • A media team got production-ready AI flows in under 10 minutes.
  • Failed jobs? Ask the AI to debug — it has full pipeline context.

3. Speed Without Risk

The AI never stores your data. Everything runs within your governed environment:

  • Logs are visible.
  • Actions are traceable.
  • Compliance is preserved.

AI gets smarter — you stay in control.

Real-World Results

This isn’t theory. Teams across industries are already delivering faster:

  • Apify automated complex scraping flows with zero code.
  • Kofola had its AI assistant launching data tasks in 10 minutes.
  • BI:PROCSI cut project delivery time by two-thirds using MCP automation.

The result: Less waiting, more doing.

CRM Users: This Is a Game Changer

CRMs are full of data but short on answers — unless pipelines bridge the gap.

With Keboola MCP Server:

  • Marketers analyze lead quality on the fly.
  • Sales ops launch dashboards from simple prompts (“Show me segments by conversion velocity”).
  • Support teams connect Zendesk, NPS, and CLV data into live reports — without writing SQL.

And with native CRM connectors, setup is seamless.

Looking ahead – the future is Prompt-Led

Forget programming. Forget manually building your ETL data flows. It’s time to compose data pipelines the way you think.

Keboola MCP Server empowers your AI assistant to:

  • Pull data.
  • Transform it.
  • Automate workflows.
  • Explain results.

All from a conversation. Just ask for the insights you need. The AI will handle the heavy lifting so you can focus on strategy.

Keboola and MCP Server help remove bottlenecks and unlock faster results.

The next evolution of data operations isn’t months away. It’s one prompt away.

FAQs

What is the Keboola MCP Server and how does it work?

The Keboola MCP Server connects large language models (LLMs) like ChatGPT directly to your Keboola environment using the open Model Context Protocol. It lets you describe what you need in plain language, and the AI builds and runs the data pipeline for you — securely and without writing code.

Is my data safe when using the MCP Server with AI tools?

Yes. The AI never stores your data. All actions are executed within your governed Keboola environment, with full logging, traceability, and compliance with your data security policies.

What kind of tasks can the MCP Server automate?

It can pull data from CRMs and APIs, compose transformations, debug failed jobs, and deliver analytics outputs — all through natural language prompts. Think campaign dashboards, customer segmentation, or lead quality reports generated in minutes.

Do I need technical skills to use Keboola MCP Server?

Not at all. Business users can describe what they need in plain English. The AI assistant takes care of the technical implementation. Data engineers, however, still have full transparency and control when needed.

How do I get started with Keboola MCP Server?

If you’re already a Keboola user, you can enable the MCP Server through your workspace and connect your preferred AI model. New users can contact Keboola for a demo and onboarding to see prompt-led data operations in action.

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