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M MCP Servers Developer low

keboola/keboola-mcp-server

by Various

Model Context Protocol (MCP) Server for the Keboola Platform

K

MCP

keboola/keboola-mcp-server

Added 1 June 2026

#data-platform #etl-pipeline #keboola-platform #mcp #mcp-server #model-context-protocol

Overview

An MCP server that connects AI assistants to the Keboola data platform, enabling them to list tables, run SQL queries, and trigger data flows. It uses the Model Context Protocol to expose Keboola's API as tools an AI can call directly.

Best for

Best for
Data engineers and analysts who use Keboola and want to control it through an AI assistant

Use cases

  • Query Keboola tables and view results from a chat interface
  • Trigger and monitor data pipeline jobs without leaving the assistant
  • List available datasets and schemas for exploratory data analysis

How to use

Install

uvx keboola_mcp_server --transport streamable-http

Tools exposed

  • X-Allowed-Tools
  • X-Disallowed-Tools
  • X-Read-Only-Mode

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, VS Code

Notes

An MCP server that connects AI assistants to the Keboola data platform, enabling them to list tables, run SQL queries, and trigger data flows. It uses the Model Context Protocol to expose Keboola’s API as tools an AI can call directly.

84 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

  • Query Keboola tables and view results from a chat interface
  • Trigger and monitor data pipeline jobs without leaving the assistant
  • List available datasets and schemas for exploratory data analysis

Pros

  • Tight integration with Keboola’s existing API and authentication
  • Lets non-technical users interact with data pipelines via natural language
  • Open source with a clear, focused scope

Cons

  • Limited to Keboola platform users only
  • Relies on the MCP protocol which is not yet widely adopted
  • Small community (84 stars) means less support and fewer examples

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Tight integration with Keboola's existing API and authentication
  • Lets non-technical users interact with data pipelines via natural language
  • Open source with a clear, focused scope

Cons

  • Limited to Keboola platform users only
  • Relies on the MCP protocol which is not yet widely adopted
  • Small community (84 stars) means less support and fewer examples
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