AI Data Pipeline Automation with Keboola

Introduction to Keboola MCP Server

Keboola MCP Server is a cutting-edge platform designed to enable both humans and AI agents to build, automate, and manage data pipelines efficiently. With over 15 years of data engineering expertise, Keboola's team built an end-to-end solution that integrates seamlessly with modern AI tools, frameworks, and cloud infrastructure, providing everything from security and governance to transformation and automation.

Why AI-Driven Data Pipelines?

• Automation: AI agents can interact with your data workflows, reducing manual work.
• Reliability: Automated retries, integrated governance, and monitoring ensure production-grade stability.
• Accessibility: APIs and semantic layers make it easy for both humans and agents to build and maintain pipelines.

Getting Started: Seamless Onboarding

Starting with Keboola MCP Server is straightforward. Sign up for a new project using the web wizard. No tokens or complex authentication—just a secure, best-practice OAuth flow. Within minutes, your project is ready for pipeline development with over 30 integrated tools at your fingertips.

Live Example: Building a Weather Alert Pipeline

1. Connect Integration: With a few clicks, the platform connects to your desired cloud environment.
2. Natural Language Pipeline Creation: Use AI agents like Claude to instruct Keboola to collect active extreme weather alerts and store them in a BigQuery table.
3. Component Selection and Automation: The AI agent identifies the right components (e.g., Generic Extractor) and configures them based on your prompts.
4. Error Handling and Debugging: If a job fails, simply instruct the AI to debug and fix the extractor. The platform provides clear error messages, and the agent can automatically resolve issues by updating configurations or trying alternative components.

This example demonstrates how users can leverage conversational AI to build, debug, and deploy sophisticated data pipelines without deep technical expertise.

Semantic Layer: The Key to Agentic Workflows

The semantic layer in Keboola MCP Server acts as the single source of truth for all your data objects, documentation, and storage mappings. For example, internal references like "SFDC" for Salesforce are standardized, making it easy for both users and AI agents to understand and interact with your data model. This abstraction enables:

• Context-aware querying: Agents can infer intent and retrieve the right data, even with custom naming conventions.
• Automatic schema discovery: The platform retrieves table schemas and metadata for seamless downstream processing.
• Enhanced documentation: Descriptions and references are embedded, improving transparency and collaboration.

Multi-Agent and Multi-Session Support

Keboola MCP Server supports parallel agent sessions, allowing you to:

• Run multiple workflows simultaneously
• Assign tasks to different AI agents
• Monitor jobs and retries in real time

This accelerates development and testing, especially in complex projects where tasks can be distributed across several agents.

Example: Data Exploration and Analysis

1. Connect to Existing Projects: Easily switch between projects and connect agents to explore data across different domains.
2. Contextual Queries: Ask agents to summarize project data, find relevant tables (e.g., yoga class attendance in a climbing gym), and retrieve key metrics.
3. Automated Dashboard Creation: Instruct the agent to build dashboards, such as visualizing class popularity. The agent queries, aggregates, and even builds interactive dashboards on live data in BigQuery.

Supported Tools and Integrations

Keboola MCP Server exposes a rich set of tools accessible by both humans and AI agents:

• SQL and Python transformations
• Extractors and components for ETL/ELT
• Documentation and help queries via semantic search
• Flow automation and job scheduling
• Integration with BigQuery, Snowflake, and hundreds of SaaS and database platforms (MySQL, PostgreSQL, Oracle, and more)

For developers, the MCP Server is open source, with documentation and quickstart guides available on GitHub. You can run the server locally or connect via the remote endpoint—no installation required for most users.

Security and Governance

• OAuth-based authentication ensures secure, seamless access.
• Built-in governance embeds compliance and auditing into every workflow.
• Role-based access, job monitoring, and retry mechanisms protect data integrity and streamline operations.

Framework Integrations for Developers

• Langchain, Main, Crew AI: Direct integration with major agentic frameworks makes it easy to orchestrate advanced workflows and build custom AI solutions.
• API-first design: Every function is exposed via API for maximum extensibility.

Community and Support

Join Keboola’s active community via Discord, Product Hunt, and GitHub. Get live support, share feedback, and explore a library of ready-made use cases and system prompts. New features and integrations are being launched continuously, supporting an ever-growing set of agentic and human workflows.

Real-World Use Cases

• Automated extraction and warehousing of public data feeds (e.g., weather alerts)
• Business reporting and dashboarding based on live data
• Data transformation and enrichment via Python/SQL
• Automated documentation discovery and semantic search
• Agent-driven data activation in SaaS tools and databases
• Enterprise integration with cloud data warehouses and legacy systems

Open Source and Extensibility

The MCP Server is fully open source, encouraging transparency and collaboration. Developers can fork the code, contribute improvements, and build custom connectors or workflows tailored to their needs. The open API and documentation provide everything required to extend the platform for new use cases.

Example Workflow: End-to-End Automation

1. Extract: Use the AI agent to connect to an external API and extract data.
2. Transform: Apply SQL or Python transformations to clean and enrich the data.
3. Load: Store the processed data in BigQuery, Snowflake, or other supported destinations.
4. Activate: Push insights to SaaS tools or trigger downstream automations.
5. Monitor: Use built-in monitoring to track job status, detect errors, and automate retries.

Continuous Innovation

Keboola is committed to evolving the MCP Server to meet the needs of the next-generation agentic ecosystem. Expect frequent updates, new frameworks, and expanded cloud support.

Get Started Today

• Sign up for a free trial and explore the platform.
• Access documentation and live support via Discord.
• Connect via API or your favorite AI client.
• Star the project on GitHub and join the community.

Ready to transform your data engineering workflow? Keboola MCP Server brings the power of AI and automation to every step of your data pipeline journey.