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Keboola MCP Server revolutionizes data engineering by enabling AI assistants like Claude, Cursor, and ChatGPT to build and manage production-grade data pipelines through natural language interaction. Leveraging the Model Context Protocol (MCP), an open standard developed by Anthropic, this tool seamlessly integrates AI applications with external data sources, transforming them into powerful Data Agents. Users can describe workflows conversationally, and MCP Server handles the heavy lifting—error handling, logging, governance, and production infrastructure setup.

The server acts as an open-source bridge between Keboola's data platform and AI tools, unlocking features like storage, transformations, and job execution for AI-driven automation. It offers robust security with OAuth authentication and ensures no data storage on its end, facilitating real-time access to data. With Keboola MCP Server, users can debug pipelines, schedule jobs, explore datasets, create dashboards, and ship workflows from local development to processing billions of records in data warehouses—all with full control and observability.

Designed for developers, data engineers, product managers, analysts, and "vibe-coders," this solution simplifies complex operations, making data engineering faster and more intuitive. The core features are free forever, with actions billed according to standard Keboola usage, offering a cost-effective way to integrate AI into data workflows.