Starburst Connector for AI agents.
6 live capabilities
Query federated data lakes and manage Trino data products with natural language.
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Why people use Starburst
Starburst for Federated Data Lake Governance
This Connector puts all those actions into a single chat window. You can ask your agent to list catalogs, find schemas, and check roles in one go. You get a clear picture of your data governance without the manual clicking.
What Vinkius changes
You get to talk to your data instead of writing SQL to find it.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Finding specific finance data
An analyst asks the agent to find all tables related to 'finance' in the production catalog and summarize the latest transaction counts.
- Real-world use case 02
Auditing security permissions
A governance manager asks the AI to list all active roles and identify which ones have access to the payroll schemas.
- Real-world use case 03
Exploring new data products
A data engineer wants to see what new products were published last week and get the schema details for a specific marketing dashboard.
Complete set · 6capabilities
The complete Starburst capability set.
These are the exact actions your AI can choose when you ask it to work with Starburst.
01—03
3 capabilities in this set.
Part of 6 available through Starburst.
- 01 Capability
Get query details
Retrieves specific details for a single SQL query. It helps you see exactly what happened during a previous execution.
- 02 Capability
List catalogs
Lists all data catalogs available in Starburst Galaxy. Use this to see which sources like S3 or Snowflake are connected.
- 03 Capability
List data products
Lists all published data products in the network. This makes it easy to see what data is ready for consumption.
04—06
3 capabilities in this set.
Part of 6 available through Starburst.
- 04 Capability
List domains
Lists the different data product domains. Use this to understand how your data is organized across the enterprise.
- 05 Capability
List queries
Shows a list of recent SQL queries executed in the cluster. This helps you track activity and debug recent requests.
- 06 Capability
List roles
Lists all security roles in your organization. Use this to audit permissions and check access levels.
Set up in minutes
One URL. Then ask Starburst to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Starburst 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_O3fkMMqaRDxXU8YcUOdnSQyixPMchBfro4bAKlB1/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 Starburst, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Starburst for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_O3fkMMqaRDxXU8YcUOdnSQyixPMchBfro4bAKlB1/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 Starburst URL.
- Step 03
Save and start
Save the connection and enable Starburst in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"starburst": {
"url": "https://edge.vinkius.com/vk_preview_O3fkMMqaRDxXU8YcUOdnSQyixPMchBfro4bAKlB1/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 Starburst
Open Agent mode in chat and ask: "Using Starburst, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"starburst": {
"url": "https://edge.vinkius.com/vk_preview_O3fkMMqaRDxXU8YcUOdnSQyixPMchBfro4bAKlB1/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 Starburst
Ask Copilot: "Using Starburst, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"starburst": {
"url": "https://edge.vinkius.com/vk_preview_O3fkMMqaRDxXU8YcUOdnSQyixPMchBfro4bAKlB1/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 Starburst
Open Cascade and ask: "Using Starburst, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"starburst": {
"url": "https://edge.vinkius.com/vk_preview_O3fkMMqaRDxXU8YcUOdnSQyixPMchBfro4bAKlB1/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 Starburst
Ask Cline: "Using Starburst, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add starburst --transport http "https://edge.vinkius.com/vk_preview_O3fkMMqaRDxXU8YcUOdnSQyixPMchBfro4bAKlB1/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 Starburst
Ask Claude: "Using Starburst, show me...". 6 tools are ready
Where the request belongs
Work Starburst can move forward.
This is for the data professional who spends more time navigating menus and writing boilerplate than actually analyzing results. It's for the person who needs to see the big picture of a federated lake without the headache of manual connection scripts.
Data Engineer
Use this to audit schemas and manage data products across multiple sources without opening a new terminal.
Data Analyst
Quickly find the right table in a massive lake and run queries to get the numbers you need for your reports.
Data Governance Manager
Keep a constant eye on access controls and role assignments to ensure your data stays secure and compliant.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Execute streaming SQL, manage compute clusters, and monitor real-time data pipelines directly from your AI agent.
data.world
Equip your AI agent to discover and manage data assets, projects, and queries directly via the data.world API.
Bring your own AI
Change the model, client or framework. Keep Starburst connected.
-
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 Starburst.
The practical details behind the request, access and result.
Does the Starburst MCP work with my S3 data lake?
Yes. It connects to your Starburst Enterprise environment, which allows it to query federated sources including S3, Snowflake, and Iceberg.
Can I use Starburst MCP to manage my data roles?
Yes. You can ask your agent to list and inspect organizational roles to help with auditing and access control.
How does Starburst MCP help with data discovery?
It lets you ask natural language questions to find specific catalogs, schemas, and published data products across your entire network.
Is Starburst MCP compatible with Trino?
Yes. It is designed to work with Trino-based data products to help you query and manage complex data environments.
Can the Starburst MCP run SQL queries for me?
Yes. Your agent can execute SQL statements directly and return structured results or summaries to you in the chat.
Will Starburst MCP show me my recent query history?
Yes. It can pull a list of recent SQL queries executed in the cluster, which is helpful for debugging or checking recent activity.
Can the AI run write or drop queries?
That depends on your token's permissions. The execute_query capability passes any SQL to Starburst. To prevent mutations, provision a read-only token via your Starburst security settings.
How do I handle queries that return thousands of rows?
Always add a LIMIT clause in your SQL. Large result sets can exceed the AI's context window. Instruct the agent to use LIMIT 10 or LIMIT 50 to keep responses manageable.
What credentials do I need?
Two values: STARBURST_HOST (your cluster URL, e.g., https://mycluster.trino.galaxy.starburst.io) and STARBURST_TOKEN (a service account token from your Starburst admin settings).
One connection away
Give your agent a direct line to Starburst.
Connect Starburst once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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