Keboola MCP Server connects AI agents and MCP clients to the Keboola data platform for natural language SQL, Keboola int
Enable Claude to query your database directly using natural language
Example: Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly
Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster
Generate complex reports and analytics without leaving conversation
Example: Analyze sales trends, cohort retention, user behavior patterns conversationally
Democratize data access—non-technical team members can query databases
Understand database structure, relationships, and data models
Example: 'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Run data quality queries to catch anomalies and inconsistencies
Example: Find duplicate records, missing values, orphaned foreign keys automatically
Maintain data integrity with less manual SQL work
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Keboola MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Keboola MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Keboola MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We evaluated Keboola MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.
Keboola MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Keboola MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Keboola MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: Keboola MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Keboola MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Keboola MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.
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Claude Desktop configuration
{
"mcpServers": {
"keboola": {
"command": "uvx",
"args": [
"keboola_mcp_server --transport \u003Ctransport\u003E"
],
"env": {
"KBC_STORAGE_API_URL": "https://connection.YOUR_REGION.keboola.com",
"KBC_STORAGE_TOKEN": "your_keboola_storage_token",
"KBC_WORKSPACE_SCHEMA": "your_workspace_schema",
"KBC_BRANCH_ID": "your_branch_id_optional"
}
}
}
}Connects AI assistants to Keboola data platform for querying tables, creating SQL transformations, managing components, and triggering jobs through natural language. Works with Claude, Cursor, VS Code and other MCP clients.
Keboola MCP Server is an official MCP server published by keboola that provides AI assistants with tools and capabilities via the Model Context Protocol. Keboola MCP Server connects AI agents and MCP clients to the Keboola data platform for natural language SQL, Keboola int It is categorized under databases, analytics data.
You can install Keboola MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
README content is unavailable from source data for this server.
Open GitHub repository →Time estimate: 15-30 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
Compatibility
✓ Use when
Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.
✗ Avoid when
Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.