Overview
Features
Storage
Query tables directly and manage table or bucket descriptions
Components
Create, List and inspect extractors, writers, data apps, and transformation configurations
SQL
Create SQL transformations with natural language
Jobs
Run components and transformations, and retrieve job execution details
Flows
Build and manage workflow pipelines using Conditional Flows and Orchestrator Flows.
Data Apps
Create, deploy and manage Keboola Streamlit Data Apps displaying your queries over storage data.
Metadata
Search, read, and update project documentation and object metadata using natural language
Dev Branches
Work safely in development branches outside of production, where all operations are scoped to the selected branch.
Who Is This For?
- AI agents:Connect Claude, Cursor, Windsurf and other AI assistants to Keboola data and tools.
- Developers:Build, customize, and debug MCP-powered integrations for Keboola data and workflows.
- MCP clients:Configure and operate remote or local MCP connections for AI tools to Keboola data.




