Keboola MCP Server

Product Introduction

1. Keboola MCP Server is an open-source middleware that connects AI assistants like Claude or ChatGPT to Keboola's data platform using the Model Context Protocol (MCP). It translates natural language instructions into executable data pipelines with built-in error handling, logging, and governance. The server acts as a secure bridge between AI tools and enterprise data infrastructure without storing any user data.
2. The product enables AI agents to function as operational data engineers by providing direct access to production-ready pipelines. It eliminates manual coding requirements while maintaining enterprise security standards and full workflow observability. Users can deploy complex data transformations and orchestration workflows through conversational AI interactions.

Main Features

1. The server integrates with AI assistants and IDEs through the MCP standard, enabling natural language commands to create SQL transformations, Python scripts, and data pipelines. It automatically generates production infrastructure with built-in logging, error handling, and job scheduling. Users can execute workflows directly in their connected data warehouse without manual deployment steps.
2. Real-time debugging capabilities allow AI agents to analyze failed jobs, suggest fixes, and retry executions through conversational interfaces. The system provides complete audit trails with granular access controls and version history for all pipeline components. Integration with Keboola's native tools enables automatic documentation generation and data quality assessments.
3. Security is enforced through OAuth 2.0 authentication and zero data persistence within the MCP Server. All actions occur directly in Keboola's environment with role-based access control and encryption compliance. Users maintain full governance over AI-generated workflows through approval workflows and change management protocols.

Problems Solved

1. Traditional data engineering requires specialized coding skills and manual infrastructure configuration, creating bottlenecks in analytics projects. The MCP Server automates pipeline creation through AI interpretation of business requirements, reducing development time from days to minutes. It eliminates syntax errors in SQL/Python code through AI-generated, platform-validated implementations.
2. The solution serves data engineers seeking productivity tools, analysts requiring self-service capabilities, and developers building AI-augmented workflows. Enterprises transitioning from prototype AI models to production systems benefit from its governance-focused automation. Teams with limited engineering resources can implement complex data operations using natural language instructions.
3. Typical use cases include generating RFM customer segmentation models from raw e-commerce data via AI prompts. Users can debug transformation failures by asking the AI to analyze error logs and suggest corrections. Another scenario involves creating scheduled data quality checks across multiple sources through conversational commands.

Unique Advantages

1. Unlike standalone AI coding tools, MCP Server provides native integration with Keboola's complete data operations platform and connected warehouses. It combines Anthropic's MCP standard with enterprise-grade execution environments, ensuring reliability at scale. Competitors lack equivalent direct connections between AI interfaces and production data infrastructure.
2. The open-source architecture allows customization of AI agent capabilities while maintaining security through Keboola's existing governance framework. Unique features include automatic pipeline visualization and documentation generation for AI-built workflows. Real-time performance monitoring enables immediate validation of AI-generated solutions against actual data.
3. Competitive differentiation comes from combining no-code AI accessibility with professional developer tools and existing customer data stacks. The server supports rapid prototyping through natural language while allowing manual adjustments via Keboola's interface. Enterprises achieve 10x faster implementation cycles compared to traditional data engineering methods.

Frequently Asked Questions (FAQ)

1. What is the Model Context Protocol (MCP)? MCP is an open standard created by Anthropic that enables AI applications to interact with external systems through a universal interface. It functions like USB-C for AI tools, allowing different models to connect with data platforms using a common language. Keboola implements this protocol to enable natural language control of data pipelines without custom integrations.
2. Is the Keboola MCP Server secure? Yes, security is enforced through OAuth 2.0 authentication and zero data storage within the MCP Server. All operations execute directly in Keboola's environment with existing role-based access controls and encryption standards. Audit logs track every AI-generated action, maintaining compliance with enterprise security policies.
3. How does pricing work for the MCP Server? The server itself is free to install and use within Keboola projects. Users pay standard platform fees for executed jobs and data processing operations based on Keboola's consumption pricing model. Core features remain free indefinitely, with costs only applying to actual resource usage in connected warehouses.