Apache Superset Connector for AI agents.
7 live capabilities
Query BI dashboards and run SQL Lab analytics directly from your chat.
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Why people use Apache Superset
Apache Superset BI Analytics for faster data exploration
This Connector lets you just ask. Your agent finds the dashboard, looks at the chart details, and runs the SQL for you. You get the answer in seconds without ever opening a new tab.
What Vinkius changes
Your agent becomes a power user of your BI platform.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
The 'Why did this change?' check
A PM sees a spike and asks the agent to find the Sales Overview dashboard, check the Revenue chart logic, and run a SQL query to see if it's a data bug or a real trend.
- Real-world use case 02
The Data Audit
An engineer needs to know which databases are active.
- Real-world use case 03
The Quick Report
An analyst needs a CSV of last month's sales.
Complete set · 7capabilities
The complete Apache Superset capability set.
These are the exact actions your AI can choose when you ask it to work with Apache Superset.
01—04
4 capabilities in this set.
Part of 7 available through Apache Superset.
- 01 Capability
Get chart details
Pull the specific details and logic for a single chart. This shows you exactly how a metric is being calculated.
- 02 Capability
List charts
See a list of every chart currently available in your Superset instance. Use this to browse your available visualizations.
- 03 Capability
Get dashboard details
Get the specific configuration and metadata for a dashboard. This helps you see how a dashboard is structured.
- 04 Capability
List dashboards
Find all the dashboards in your BI portal to see what's available. This is great for auditing your reporting surfaces.
05—07
3 capabilities in this set.
Part of 7 available through Apache Superset.
- 05 Capability
List databases
See all the different data sources your Superset instance is connected to. It helps you verify your backend connections.
- 06 Capability
List datasets
View the full inventory of datasets ready for analysis. This lets you see what data is available to query.
- 07 Capability
Execute sql query
Run a raw SQL statement against a specific database ID in SQL Lab. Use this to pull custom data that isn't in a dashboard.
Set up in minutes
One URL. Then ask Apache Superset to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Apache Superset from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_gwYe1NYA9B8gFp8lQ7hoG8Zq04EdrBNzR1eq1ypu/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Apache Superset, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Apache Superset for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_gwYe1NYA9B8gFp8lQ7hoG8Zq04EdrBNzR1eq1ypu/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Apache Superset URL.
- Step 03
Save and start
Save the connection and enable Apache Superset in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"apache-superset": {
"url": "https://edge.vinkius.com/vk_preview_gwYe1NYA9B8gFp8lQ7hoG8Zq04EdrBNzR1eq1ypu/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Apache Superset
Open Agent mode in chat and ask: "Using Apache Superset, help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"apache-superset": {
"url": "https://edge.vinkius.com/vk_preview_gwYe1NYA9B8gFp8lQ7hoG8Zq04EdrBNzR1eq1ypu/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Apache Superset
Ask Copilot: "Using Apache Superset, help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"apache-superset": {
"url": "https://edge.vinkius.com/vk_preview_gwYe1NYA9B8gFp8lQ7hoG8Zq04EdrBNzR1eq1ypu/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Apache Superset
Open Cascade and ask: "Using Apache Superset, help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"apache-superset": {
"url": "https://edge.vinkius.com/vk_preview_gwYe1NYA9B8gFp8lQ7hoG8Zq04EdrBNzR1eq1ypu/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Apache Superset
Ask Cline: "Using Apache Superset, help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add apache-superset --transport http "https://edge.vinkius.com/vk_preview_gwYe1NYA9B8gFp8lQ7hoG8Zq04EdrBNzR1eq1ypu/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Apache Superset
Ask Claude: "Using Apache Superset, show me...". 7 tools are ready
Where the request belongs
Work Apache Superset can move forward.
This is for the data person who's tired of being a human query translator for non-technical teammates. It solves the friction of navigating complex BI UIs to find simple answers.
Data Analyst
Use it to quickly draft SQL queries based on existing dashboard logic and pull data for ad-hoc reports.
Product Manager
Ask for status updates on specific metrics without needing to know how to navigate the BI UI or write SQL.
Data Engineer
Audit which datasets are actually being used in production dashboards and check connection statuses.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsRedash
Connect to Redash to manage SQL queries, execute data visualizations, and monitor dashboards directly from your AI agent.
Metabase (Business Intelligence & Analytics)
Manage your BI environment via Metabase. list dashboards, retrieve visual questions (cards), and search data entities.
Omni BI Intelligence
Interact with Omni BI dashboards, models, and data exports. run queries and track metrics directly from your AI agent.
Mode Analytics
Manage collaborative data analysis via Mode Analytics. list spaces, query reports, and trigger report runs directly from any AI agent.
Tableau
Access workbooks, views, data sources, and dashboard insights from Tableau. the enterprise BI and analytics platform.
Looker (Business Intelligence & Data)
Manage your BI environment via Looker. list dashboards, execute inline queries, and audit saved Looks.
Bring your own AI
Change the model, client or framework. Keep Apache Superset connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Apache Superset.
The practical details behind the request, access and result.
Can I use the Apache Superset MCP to see my dashboards?
Yes, it can list all of your dashboards so you can find the right one quickly without manual navigation.
Can my agent actually run SQL queries?
Yes, it can execute raw SQL statements via SQL Lab on any database connected to your Superset instance.
Does this work for any BI capability?
No, this is specifically designed for Apache Superset.
How do I find which datasets are available?
The agent can list all your datasets so you know exactly what's ready for analysis before you start a query.
Can it tell me the logic behind a specific chart?
Yes, it can pull the specific details for any chart to show you exactly how a metric is being calculated.
Is this safe for my data?
Yes, it uses your existing Superset credentials to perform actions just like a human user would.
Can the AI query databases connected to Superset, such as Presto or Redshift?
Yes. The execute_sql_query capability runs queries through Superset's SQL Lab API, which routes them to whichever database engine you have configured. Presto, Redshift, PostgreSQL, and others.
Are dashboard access permissions enforced when using the Connector?
Yes. All requests are authenticated with your SUPERSET_ACCESS_TOKEN, so only the dashboards, charts, and datasets your token has access to will be visible to the AI.
Can the AI run write queries (INSERT, UPDATE, DELETE) via SQL Lab?
It depends on your Superset database connection settings. By default, SQL Lab connections are read-only. Write access must be explicitly enabled per database in the Superset admin panel.
Are dashboard access permissions enforced when using the MCP server?
Yes. All requests are authenticated with your SUPERSET_ACCESS_TOKEN, so only the dashboards, charts, and datasets your token has access to will be visible to the AI.
One connection away
Give your agent a direct line to Apache Superset.
Connect Apache Superset once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available