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superset-mcp

v1.6.5

Published

MCP server for reading and editing Apache Superset dataset data

Readme

Superset MCP Server

A Model Context Protocol (MCP) server for managing Apache Superset datasets, metrics, and SQL queries.

📖 中文文档

🚀 Features

  • Dataset Management: Full CRUD operations for Superset datasets
  • Metrics Management: Create, update, and manage dataset metrics
  • Calculated Columns: Create and manage calculated columns for datasets
  • Chart Management: View and modify chart visualization parameters and filters
  • Dashboard Operations: Access dashboard information, charts, and filters
  • SQL Query Execution: Execute SQL queries directly through Superset
  • Database Integration: List and manage database connections
  • Resource Access: Browse datasets, databases, and metrics through MCP resources

📋 Prerequisites

  • Node.js 18+
  • Access to an Apache Superset instance
  • Valid Superset credentials (username/password or access token)

🛠️ Installation

Using with Cursor or Claude Desktop

1. Add to MCP Configuration

Add the following configuration to your MCP settings file:

{
  "mcpServers": {
    "superset-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "superset-mcp"
      ],
      "env": {
        "SUPERSET_BASE_URL": "",
        "SUPERSET_USERNAME": "",
        "SUPERSET_PASSWORD": ""
      }
    }
  }
}

2. Environment Variables

Configure your Superset connection by updating the env section in the MCP configuration:

"env": {
  "SUPERSET_BASE_URL": "your-superset-url",
  "SUPERSET_USERNAME": "your_username",
  "SUPERSET_PASSWORD": "your_password",
}

Alternative: Using Access Token

"env": {
  "SUPERSET_BASE_URL": "your-superset-url",
  "SUPERSET_ACCESS_TOKEN": "your_access_token"
}

🔧 Available Tools

Dataset Operations

| Tool | Description | |------|-------------| | list_datasets | Get paginated list of all datasets with filtering and sorting | | get_dataset | Get detailed information for a specific dataset | | create_dataset | Create a new dataset (physical or virtual with SQL) | | update_dataset | Update existing dataset properties | | delete_dataset | Delete a dataset | | refresh_dataset_schema | Refresh dataset schema from source database | | find_and_replace_in_sql | Find and replace text in virtual dataset SQL |

Metrics Operations

| Tool | Description | |------|-------------| | get_dataset_metrics | Get all metrics for a dataset | | create_dataset_metric | Create a new metric with SQL expression | | update_dataset_metric | Update existing metric properties | | delete_dataset_metric | Delete a metric |

Calculated Columns Operations

| Tool | Description | |------|-------------| | get_dataset_columns | Get column information (including calculated columns) | | create_calculated_column | Create a new calculated column with SQL expression | | update_calculated_column | Update existing calculated column | | delete_calculated_column | Delete a calculated column |

Chart Operations

| Tool | Description | |------|-------------| | list_charts | Get paginated list of all charts with filtering and sorting | | create_chart | Create a new chart; for most viz types you should first call get_chart_params to obtain the correct params schema | | get_chart_params | Get required parameters format for chart visualization types | | get_current_chart_config | Get current chart configuration details (viz params, relationships, ownership, query context) | | update_chart | Update chart properties including metadata, datasource, and visualization parameters | | get_chart_filters | Get current data filters applied to a chart | | set_chart_filters | Set data filters for a chart (permanently updates the chart) |

Dashboard Operations

| Tool | Description | |------|-------------| | list_dashboards | Get paginated list of all dashboards with filtering and sorting | | get_dashboard_charts | Get all charts in a specific dashboard with their information | | get_dashboard_filters | Get dashboard's filter configuration (native filters, global filters) | | get_dashboard_chart_query_context | Get complete query context for a chart in dashboard (dataset ID, used metrics with SQL expressions, calculated columns, applied filters) |

SQL Operations

| Tool | Description | |------|-------------| | execute_sql | Execute SQL queries with result limiting and data display |

Database Operations

| Tool | Description | |------|-------------| | list_databases | Get all configured database connections |

📚 Resources

Access read-only overviews through MCP resources:

  • superset://datasets - Overview of all datasets
  • superset://databases - List of database connections
  • superset://dataset-metrics - Overview of all metrics across datasets

Prompt examples

Use these natural prompts with your MCP-enabled assistant; it will pick the right tools and arguments.

  • List datasets

    • "Show the first 10 datasets, most recently changed first. Only include id and table_name."
  • Create a chart

    • "Create a simple table chart called 'Sample Table' using dataset 12."
  • Update a chart

    • "Change chart 42 to a bar chart grouped by country and using SUM(value)."
  • Dashboard query context

    • "On the 'sales-kpi' dashboard, show the full query context for chart 101."
  • Run SQL

    • "On database 3, fetch the 10 most recently created users, returning only id and name."