mcp-server
Active·★ 84·MIT·Updated 2026-05-29
★ Trending★ Workflow Automation★ API Integration
Model Context Protocol (MCP) Server for the Keboola Platform
Keboola MCP Server is an open-source bridge that connects Keboola projects with various AI tools and assistants, enabling AI agents to access and utilize Keboola features like data storage, SQL transformations, and job triggers. It transforms Keboola functionalities into callable tools, simplifying data exposure and management for AI-driven workflows without requiring glue code.
#AI Agents#Keboola#Data Integration#SQL#Orchestration#API#Open-source#Developer Tools
01
Features
01Storage: Query and manage data tables/buckets directly.
02SQL: Create SQL transformations using natural language.
03Jobs: Run components and transformations, and retrieve job execution details.
04Flows: Build and manage workflow pipelines using Conditional and Orchestrator Flows.
05Dev Branches: Work safely in development branches without affecting production data.
02
Compatibility
Claude
AI Client
Verified via docs
Cursor
AI Client
Verified via docs
Windsurf, Zed, Replit
AI Client
Verified via docs
Codeium, Sourcegraph
AI Client
Verified via docs
Custom MCP Clients
AI Client
Verified via docs
Python 3.10+
Runtime
Verified via docs
03
Quick start
1
$ docker pull keboola/mcp-server:latest
2
$ docker run --name keboola_mcp_server --rm -it -p 127.0.0.1:8000:8000 -e KBC_STORAGE_API_URL="https://connection.YOUR_REGION.keboola.com" -e KBC_STORAGE_TOKEN="YOUR_KEBOOLA_STORAGE_TOKEN" -e KBC_WORKSPACE_SCHEMA="YOUR_WORKSPACE_SCHEMA" -e KBC_BRANCH_ID="YOUR_BRANCH_ID_OPTIONAL" keboola/mcp-server:latest --transport streamable-http --host 0.0.0.0
04
Use cases
↳Explore Keboola data using natural language queries to find information or specific data points.
↳Analyze data and find correlations through AI agents for tasks like sales analysis or trend identification.
↳Create SQL transformations and manage data extraction jobs, automating data pipeline operations.
05
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Comments
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- HHayden ThompsonMay 10, 2026
Good for data teams that want AI assistance without leaving the Keboola ecosystem
- AAlex ClarkMar 14, 2026
Automated pipeline monitoring and alerting workflows are much faster with this
- CCorey NguyenMar 4, 2026
The official server has full API coverage, not a partial integration
- Dylan ChenFeb 26, 2026
Keboola platform access via MCP makes data pipeline management conversational