superset-mcp

superset-mcp

An MCP server that provides AI assistants with full access to Apache Superset instances, enabling interaction with dashboards, charts, datasets, databases, and SQL execution capabilities.

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README

superset-mcp

MCP (Model Context Protocol) server for Apache Superset. Gives AI assistants full access to your Superset instance — dashboards, charts, datasets, databases, and SQL execution.

Prerequisites

  • uv — Python package manager
  • Access to a running Apache Superset instance

Setup (takes ~1 minute)

1. Clone the repo

git clone <repo-url>
cd superset-mcp

2. Configure credentials

cp .env.example .env

Edit .env:

SUPERSET_URL=http://your-superset-host:8088
SUPERSET_USERNAME=your-username
SUPERSET_PASSWORD=your-password

3. Test it works

uv run superset-mcp

You should see the MCP server start without errors. Press Ctrl+C to stop.


Connect to your AI client

Replace /ABSOLUTE/PATH/TO/superset-mcp with the actual path where you cloned the repo.

Claude Code

Add to ~/.claude/settings.json (or project-level .claude/settings.json):

{
  "mcpServers": {
    "superset": {
      "command": "uv",
      "args": ["--directory", "/ABSOLUTE/PATH/TO/superset-mcp", "run", "superset-mcp"],
      "env": {
        "SUPERSET_URL": "http://your-superset-host:8088",
        "SUPERSET_USERNAME": "your-username",
        "SUPERSET_PASSWORD": "your-password"
      }
    }
  }
}

Or run in terminal:

claude mcp add superset -- uv --directory /ABSOLUTE/PATH/TO/superset-mcp run superset-mcp

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)
or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "superset": {
      "command": "uv",
      "args": ["--directory", "/ABSOLUTE/PATH/TO/superset-mcp", "run", "superset-mcp"],
      "env": {
        "SUPERSET_URL": "http://your-superset-host:8088",
        "SUPERSET_USERNAME": "your-username",
        "SUPERSET_PASSWORD": "your-password"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project or ~/.cursor/mcp.json globally:

{
  "mcpServers": {
    "superset": {
      "command": "uv",
      "args": ["--directory", "/ABSOLUTE/PATH/TO/superset-mcp", "run", "superset-mcp"],
      "env": {
        "SUPERSET_URL": "http://your-superset-host:8088",
        "SUPERSET_USERNAME": "your-username",
        "SUPERSET_PASSWORD": "your-password"
      }
    }
  }
}

Available Tools

Dashboards

Tool Description
list_dashboards List all dashboards (with optional search)
get_dashboard Get a dashboard by ID or slug
get_dashboard_charts Get all charts in a dashboard
get_dashboard_datasets Get all datasets used by a dashboard
create_dashboard Create a new dashboard
update_dashboard Update title, layout, metadata
publish_dashboard Publish a draft dashboard
copy_dashboard Duplicate a dashboard
delete_dashboard Delete a dashboard

Charts

Tool Description
list_charts List all charts (with optional search)
get_chart Get a chart by ID or UUID
get_chart_data Fetch the latest data for a chart
create_chart Create a new chart
update_chart Update chart properties
delete_chart Delete a chart

Datasets

Tool Description
list_datasets List all datasets
get_dataset Get a dataset by ID or UUID
create_dataset Create from a table or SQL query
get_or_create_dataset Get existing or create new
refresh_dataset Sync columns from source table
update_dataset Update dataset properties
get_dataset_related_objects See which charts/dashboards use it
delete_dataset Delete a dataset

Databases

Tool Description
list_databases List all database connections
get_database Get a database connection by ID
list_schemas List schemas in a database
list_tables List tables in a schema
get_table_metadata Get column info for a table
get_select_star Get a SELECT * template for a table

SQL

Tool Description
execute_sql Run a SQL query and get results
format_sql Pretty-print a SQL query
estimate_query_cost Estimate query cost (if supported)
list_saved_queries List saved SQL queries
save_query Save a SQL query

Example prompts

Once connected to your AI assistant:

  • "List all published dashboards"
  • "Create a new dashboard called 'Sales Overview'"
  • "Show me all charts in dashboard 11"
  • "Run a SQL query on database 2: SELECT count() FROM orders"*
  • "What datasets are used by the 'Revenue' dashboard?"
  • "Create a bar chart using dataset 5 showing sales by region"

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