Which integrations are available for this server?

Provides full access to Apache Superset instances, enabling AI assistants to manage dashboards, charts, datasets, databases, and execute SQL queries through Superset's API.

How do I use superset-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@superset-mcp show me the top 5 dashboards by view count" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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superset-mcp

by thedeceptio

Overview Schema Related Servers Score Discussions

Python

Remote

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"

Install Server

security – no known vulnerabilities

license - not found

quality - B tier

How are these scores calculated?

Resources

GitHub Repository

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