Keboola MCP Server
Keboola MCP Server is a bridge that connects AI assistants (like Claude, Cursor, and VS Code) to Keboola's data platform, enabling natural language interaction with data infrastructure and automated pipeline building through simple prompts.
https://keboola.com/mcp?ref=producthunt
Product Information
Updated:Jul 16, 2025
Keboola MCP Server Monthly Traffic Trends
Keboola MCP Server experienced a 21.4% decline in traffic, possibly due to the scheduled maintenance of all Azure stacks on June 21, 2025, which included a short service outage and potential delays in job processing. Additionally, the deprecation of the id field in Storage API Events and changes to credit consumption for Data Science workloads might have affected user experience and retention.
What is Keboola MCP Server
Keboola MCP Server is an open-source implementation of the Model Context Protocol (MCP) that enables seamless integration between AI applications and Keboola's data platform. It acts as a universal connector (like USB-C for AI) that transforms Keboola's features - storage, transformations, and jobs - into AI-accessible tools. The server allows AI assistants to directly interact with data infrastructure through natural language, without requiring custom integration code. It's designed for developers, data engineers, product managers, and analysts who want to accelerate their data workflows through AI automation.
Key Features of Keboola MCP Server
Keboola MCP Server is an open-source bridge that connects AI assistants (like Claude, Cursor) to Keboola data platform features. It enables natural language interaction with data infrastructure by transforming Keboola capabilities (storage access, SQL transformations, job triggers) into AI-accessible tools. The server allows users to build production-grade data pipelines, perform data analysis, and manage workflows through simple prompts without requiring custom integration code or technical expertise.
AI-Powered Infrastructure Management: Allows AI assistants to directly access and manage Keboola features like storage, transformations, and job triggers through natural language commands
Secure Authentication System: Implements industry-standard OAuth authentication with no data storage on the MCP server itself, ensuring secure real-time access to data resources
Integration with Multiple AI Tools: Seamlessly connects with various AI assistants and IDEs including Claude, Cursor, CrewAI, LangChain, and Amazon Q
Production-Grade Pipeline Creation: Enables building end-to-end data pipelines with error handling, logging, and built-in governance through simple prompts
Use Cases of Keboola MCP Server
Automated Data Pipeline Development: Data engineers can quickly create and modify data pipelines by describing requirements in natural language, reducing development time significantly
Data Analysis and Reporting: Analysts can explore datasets, create dashboards, and generate reports through conversational interactions without writing complex queries
Debug and Maintenance: Technical teams can troubleshoot failed transformations and debug jobs through natural language queries, streamlining maintenance processes
Customer Data Management: Marketing teams can analyze customer data, create segments, and evaluate campaign performance through simple prompts without technical expertise
Pros
Significantly reduces development time (up to 10x faster operation)
No additional cost for the MCP server itself
Makes data infrastructure accessible to non-technical users
Strong security features with OAuth authentication
Cons
Actions performed by the server are billed according to standard Keboola usage
Requires existing Keboola infrastructure setup
May need technical expertise for initial setup and configuration
How to Use Keboola MCP Server
Create a Keboola Project: Sign up for a Keboola account and create a new project through their wizard at keboola.com/wizard
Get Required Credentials: Obtain your Keboola Storage API token and workspace schema name from your Keboola project settings. For BigQuery users, you'll also need Google credentials file.
Install Prerequisites: Ensure you have UV package installer installed as it's required for the MCP client to automatically download and run the Keboola MCP Server
Configure Environment Variables: Set up required environment variables: KBC_STORAGE_TOKEN (your Keboola token), KBC_WORKSPACE_SCHEMA (your workspace schema name), and for BigQuery users, set GOOGLE_APPLICATION_CREDENTIALS path
Connect AI Assistant: Configure your AI assistant (Claude, Cursor, VS Code, etc.) to connect to the Keboola MCP Server using the OAuth authentication
Start the Server: Run the server either automatically through your AI assistant or manually using command: uvx keboola_mcp_server --api-url https://connection.YOUR_REGION.keboola.com
Verify Connection: Test the connection by asking your AI assistant to perform a simple task like querying a table or checking available data sources
Start Using MCP Features: Begin using natural language to interact with your Keboola project - create transformations, build pipelines, debug jobs, or analyze data through your connected AI assistant
Keboola MCP Server FAQs
MCP is an open standard created by Anthropic that enables seamless integration between AI applications and external data sources. It acts as a universal way to connect AI assistants to tools and data, similar to USB-C for AI. Keboola MCP Server implements this protocol to make Keboola projects AI-ready.
Keboola MCP Server Video
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Analytics of Keboola MCP Server Website
Keboola MCP Server Traffic & Rankings
50.9K
Monthly Visits
#485356
Global Rank
#240
Category Rank
Traffic Trends: Apr 2025-Jun 2025
Keboola MCP Server User Insights
00:02:48
Avg. Visit Duration
3.57
Pages Per Visit
40.47%
User Bounce Rate
Top Regions of Keboola MCP Server
CZ: 39.74%
US: 13.7%
IN: 4.65%
GB: 4.55%
SK: 3.72%
Others: 33.65%
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