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."