How to Use the Apache Superset MCP in Cursor

Q: Can I use Cursor to debug SQL queries in Apache Superset?

Yes, Cursor uses the executesqlquery tool to run SQL statements directly from your workspace. If a query fails, the editor reads the database error and helps you rewrite the SQL.

Q: How does Cursor discover Apache Superset schemas?

Cursor calls listdatasets to fetch the active datasets from your Superset instance. It uses these schemas to provide accurate autocompletion and code generation for your analytical queries.

Q: Can I build dashboards in my app using Apache Superset data in Cursor?

Yes, you can use getdashboarddetails to inspect how your dashboards are structured. Cursor reads this layout data over MCP to help you write custom React or Vue components that match your BI setup.

Write code using real Apache Superset database schemas and chart configurations directly in Cursor.

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Connect Apache Superset MCP to Cursor

Create your Vinkius account to connect Apache Superset to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Apache Superset with Cursor

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Generate code with real Superset dataset schemas in Cursor

The `list_datasets` tool pulls the exact columns and data types from your Superset datasets directly into Cursor. Your AI editor reads this live schema to write accurate Python or TypeScript code without guessing database structures. By combining this with `list_databases`, Cursor knows exactly which connection to target in your generated code. You avoid syntax errors and mismatched types because the editor writes code based on actual database configurations.

Test SQL queries inside your code editor

The `execute_sql_query` tool runs your raw SQL statements against your database connections from the Cursor chat panel. You can test your query logic before pasting it into your application code. The agent displays the query results directly in the editor sidebar. This lets you iterate on complex analytical queries and instantly generate the corresponding ORM or raw SQL code.

Extract chart configurations to replicate in code

The `get_chart_details` tool retrieves the precise SQL and parameters that power any specific Superset chart. Cursor uses this raw configuration to help you rebuild or migrate those charts in your own frontend applications. You can use `list_charts` to find the target chart ID, then let Cursor pull the details. This MCP Server workflow replaces manual inspection of Superset's web inspector when porting business logic to code.

Setup guide

Set up Apache Superset MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Apache Superset MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Apache Superset transactions." If the MCP tools are loaded correctly, Cursor will call the Apache Superset tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "apache-superset-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apache Superset. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Apache Superset MCP in Cursor

Yes, Cursor uses the `execute_sql_query` tool to run SQL statements directly from your workspace. If a query fails, the editor reads the database error and helps you rewrite the SQL.

Cursor calls `list_datasets` to fetch the active datasets from your Superset instance. It uses these schemas to provide accurate autocompletion and code generation for your analytical queries.

Yes, you can use `get_dashboard_details` to inspect how your dashboards are structured. Cursor reads this layout data over MCP to help you write custom React or Vue components that match your BI setup.

No, the server handles all database communication through your existing Superset connections. Cursor simply calls the tools to run queries, so you don't need local Postgres or MySQL drivers installed to use this MCP Server.

Your API tokens and database connection strings are stored locally in your Cursor configuration files. The editor passes queries through the secure MCP protocol, ensuring your database credentials are never exposed to external AI training loops.

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