by keboola · MCP Server · ★ 84
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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. It turns Keboola features—like storage access, SQL transformations, and job triggers—into callable tools for Claude, Cursor, CrewAI, LangChain, Amazon Q, and more. Quick Start Local Setup Features With the AI Agent and MCP Server, you can: 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.
| Stars | 84 |
| Forks | 25 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 61.19/100 |
| Open Issues | 33 |
| Last Updated | 2026-06-19 |
| Created | 2025-01-12 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
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mcp-server is Model Context Protocol (MCP) Server for the Keboola Platform. It is categorized as a MCP Server with 84 GitHub stars.
mcp-server is primarily written in Python. It covers topics such as data-platform, etl-pipeline, keboola-platform.
You can find installation instructions and usage details in the mcp-server GitHub repository at github.com/keboola/mcp-server. The project has 84 stars and 25 forks, indicating an active community.
mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-server on Agent Skills Hub include MCPSharp, graphlit-mcp-server, mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.