mcp-server: Model Context Protocol (MCP) Server for the Keboola Platform

by keboola · MCP Server · ★ 85

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mcp-server

uvx keboola_mcp_server --transport streamable-http
docker pull keboola/mcp-server:latest

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 73/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

data-platformetl-pipelinekeboola-platformmcpmcp-servermodel-context-protocol

Quick Facts

Stars85
Forks23
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score73/100
Open Issues29
Last Updated2026-11-06
Created2025-01-12
Platformsmcp, python
Est. Tokens~19k

About mcp-server

Keboola MCP Server Connect your AI agents, MCP clients (Cursor, Claude, Windsurf, VS Code ...) and other AI assistants to Keboola. Expose data, transformations, SQL queries, and job triggers—no glue code required. Deliver the right data to agents when and where they need it. Overview Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools.

mcp-server alternative? Top 2 similar tools

Looking for a mcp-server alternative? If you're comparing mcp-server with other mcp server tools, these 2 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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