Apache Superset MCP Server for Cursor 7 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"apache-superset": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Apache Superset MCP Server
Empower your conversational AI with deep Business Intelligence access by integrating the Apache Superset MCP connector. Seamlessly navigating complex data ecosystems natively from your LLM text-interface, your agent can comprehensively index your analytical infrastructure—spanning from high-level operational dashboards down to specific raw database connections. Instantly run ad-hoc data investigations utilizing internal SQL Lab queries, retrieve explicit graph metadata, and dynamically aggregate critical business insights without abandoning your development environment.
Cursor's Agent mode turns Apache Superset into an in-editor superpower. Ask Cursor to generate code using live data from Apache Superset and it fetches, processes, and writes. all in a single agentic loop. 7 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Discover Analytics Surfaces — Audit your entire BI portal intuitively by executing
list_dashboardsand retrieve exact metric configurations invokingget_dashboard_details. - Graph & Dataset Inspection — Inventory active metrics logic seamlessly via
list_charts(or specify viaget_chart_details) and map semantic layers dynamically performinglist_datasets. - Uncover Data Architectures — Examine exact backend storage clusters accurately parsing data availability via
list_databasesnatively. - Direct SQL Processing — Interface with your central storage matrices seamlessly by generating raw extractions securely via
execute_sql_querytargeting specific analytic connections.
The Apache Superset MCP Server exposes 7 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Apache Superset to Cursor via MCP
Follow these steps to integrate the Apache Superset MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Apache Superset
Open Agent mode in chat and ask: "Using Apache Superset, help me...". 7 tools available
Why Use Cursor with the Apache Superset MCP Server
Cursor AI Code Editor provides unique advantages when paired with Apache Superset through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Apache Superset + Cursor Use Cases
Practical scenarios where Cursor combined with the Apache Superset MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Apache Superset MCP Tools for Cursor (7)
These 7 tools become available when you connect Apache Superset to Cursor via MCP:
execute_sql_query
Provide a database ID and the SQL statement. Executes a SQL query via SQL Lab
get_chart_details
Retrieves details for a specific chart
get_dashboard_details
Retrieves details for a specific dashboard
list_charts
Lists all charts (slices) in Superset
list_dashboards
Lists all available dashboards in Apache Superset
list_databases
Lists connected data source connections
list_datasets
Lists all datasets available for analysis
Example Prompts for Apache Superset in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Apache Superset immediately.
"List all my Superset dashboards and tell me which one was updated most recently."
"Check our database connections to see if our Postgres 'SalesDB' is active."
"Run a SQL Lab query to show the top 5 product categories by revenue in SalesDB."
Troubleshooting Apache Superset MCP Server with Cursor
Common issues when connecting Apache Superset to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Apache Superset + Cursor FAQ
Common questions about integrating Apache Superset MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Apache Superset with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Apache Superset to Cursor
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.