K

Keboola MCP Server

The Keboola MCP Server is a Model Context Protocol server for interacting with Keboola Connection, providing tools for data access and operation.
2 points
18

What is the Keboola MCP Server?

The Keboola MCP Server is a tool for interacting with Keboola Connection, providing functions for data listing, access, and operation. It supports backend databases such as Snowflake and BigQuery.

How to use the Keboola MCP Server?

By installing, configuring, and running the server, users can easily interact with Keboola Storage. It supports multiple tools such as Cursor AI and Claude Desktop.

Use Cases

Suitable for teams that require efficient data management and analysis, especially those who use Keboola as a data integration platform.

Main Features

List buckets and tablesDisplay all buckets and the tables they contain in the project.
Preview table dataQuickly view the first few rows of data in a table.
Export table data to CSVExport the selected table data as a CSV file.
List components and configurationsDisplay the installed components and their configurations in the project.

Advantages and Limitations

Advantages
Seamlessly integrate with Keboola Storage data
Support multiple backend databases (such as Snowflake and BigQuery)
Easy to configure and use
Limitations
Requires a Keboola Storage API token
May require a specific version of Python support

How to Use

Install the Keboola MCP Server
Create a virtual environment and install the server dependencies.
Configure the server
Edit the configuration file to specify the Keboola Storage token and workspace mode.
Start the server
Run the server script to start interacting with Keboola.

Usage Examples

List all bucketsGet a list of all buckets in the current Keboola project.
Export table dataExport the data of the specified table as a CSV file.

Frequently Asked Questions

How to set up the Keboola Storage token?
Does it support BigQuery?
How to solve the connection failure problem?

Related Resources

Official Documentation
Detailed installation and usage guide.
GitHub Repository
Source code and latest updates.
Video Tutorial
Quick start guide.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "keboola": {
      "command": "/path/to/keboola-mcp-server/.venv/bin/python",
      "args": [
        "-m",
        "keboola_mcp_server",
        "--api-url",
        "https://connection.YOUR_REGION.keboola.com"
      ],
      "env": {
        "KBC_STORAGE_TOKEN": "your-keboola-storage-token",
        "KBC_WORKSPACE_SCHEMA": "your-workspace-schema"
      }
    }
  }
}

{
  "mcpServers": {
    "keboola": {
      "url": "http://localhost:8000/sse?storage_token=YOUR-KEBOOLA-STORAGE-TOKEN&workspace_schema=YOUR-WORKSPACE-SCHEMA"
    }
  }
}

{
  "mcpServers": {
    "keboola": {
      "command": "/path/to/keboola-mcp-server/.venv/bin/python",
      "args": [
        "-m",
        "keboola_mcp_server",
        "--transport",
        "stdio",
         "--api-url",
         "https://connection.YOUR_REGION.keboola.com"
      ],
      "env": {
        "KBC_STORAGE_TOKEN": "your-keboola-storage-token", 
        "KBC_WORKSPACE_SCHEMA": "your-workspace-schema"         
      }
    }
  }
}

{
  "mcpServers": {
    "keboola": {
      "command": "wsl.exe",
      "args": [
        "bash",
        "-c",
        "'source /wsl_path/to/keboola-mcp-server/.env",
        "&&",
        "/wsl_path/to/keboola-mcp-server/.venv/bin/python -m keboola_mcp_server.cli --transport stdio'"
      ]
    }
  }
}
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