StarRocks Connector for AI agents.
10 live capabilities
Query real-time OLAP data and manage distributed database clusters.
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Why people use StarRocks
StarRocks OLAP Cluster Management for Data Engineers
This Connector puts all those actions into a single conversation. You can ask your agent to check node health, pull storage stats, or run a query without ever opening a new tab. You get a unified interface for your entire distributed infrastructure.
What Vinkius changes
You get a conversational interface for your entire StarRocks infrastructure.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking failed ingestion
A data engineer needs to see if a specific job failed.
- Real-world use case 02
Troubleshooting cluster slowdowns
An SRE notices a slowdown and asks the agent to check backend node health to find the bottleneck.
- Real-world use case 03
Quick metric extraction
An analyst needs a summary of sales.
Complete set · 10capabilities
The complete StarRocks capability set.
These are the exact actions your AI can choose when you ask it to work with StarRocks.
01—04
4 capabilities in this set.
Part of 10 available through StarRocks.
- 01 Capability
Get cluster info
Get frontend nodes info. This helps you check the status of your frontend infrastructure.
- 02 Capability
List nodes
List backend nodes. Use this to check the health and status of your backend cluster.
- 03 Capability
Execute query
Execute arbitrary SQL query. Use this to pull real-time data insights directly into your chat.
- 04 Capability
Get storage usage
Get data storage statistics. Use this to monitor disk usage across the entire cluster.
05—07
3 capabilities in this set.
Part of 10 available through StarRocks.
- 05 Capability
Get table schema
Get table structure. This allows you to see the exact columns and types for any table.
- 06 Capability
List databases
List all databases. Use this to see a high-level overview of your data environment.
- 07 Capability
List jobs
List data load jobs. This helps you monitor ingestion progress and find failed tasks.
08—10
3 capabilities in this set.
Part of 10 available through StarRocks.
- 08 Capability
List mvs
List materialized views. Use this to audit your pre-computed analytical views.
- 09 Capability
List tables
List tables in a database. This lets you see every table within a specific database.
- 10 Capability
List views
List database views. This helps you manage and audit your database views.
Set up in minutes
One URL. Then ask StarRocks to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use StarRocks 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_bhPoKhzny8myTwStxuxPah44hAT7Sn8O3RSNdBbS/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 StarRocks, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable StarRocks for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_bhPoKhzny8myTwStxuxPah44hAT7Sn8O3RSNdBbS/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 StarRocks URL.
- Step 03
Save and start
Save the connection and enable StarRocks in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"starrocks": {
"url": "https://edge.vinkius.com/vk_preview_bhPoKhzny8myTwStxuxPah44hAT7Sn8O3RSNdBbS/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 StarRocks
Open Agent mode in chat and ask: "Using StarRocks, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"starrocks": {
"url": "https://edge.vinkius.com/vk_preview_bhPoKhzny8myTwStxuxPah44hAT7Sn8O3RSNdBbS/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 StarRocks
Ask Copilot: "Using StarRocks, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"starrocks": {
"url": "https://edge.vinkius.com/vk_preview_bhPoKhzny8myTwStxuxPah44hAT7Sn8O3RSNdBbS/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 StarRocks
Open Cascade and ask: "Using StarRocks, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"starrocks": {
"url": "https://edge.vinkius.com/vk_preview_bhPoKhzny8myTwStxuxPah44hAT7Sn8O3RSNdBbS/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 StarRocks
Ask Cline: "Using StarRocks, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add starrocks --transport http "https://edge.vinkius.com/vk_preview_bhPoKhzny8myTwStxuxPah44hAT7Sn8O3RSNdBbS/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 StarRocks
Ask Claude: "Using StarRocks, show me...". 10 tools are ready
Where the request belongs
Work StarRocks can move forward.
This is for the data professional who's tired of babysitting a distributed database. It's for the engineers who need to move fast without getting bogged down in terminal commands or manual dashboard refreshes.
Data Engineer
The engineer who's tired of clicking through dashboards at 2am to check if an ingestion job failed.
Analytics Lead
The lead who needs to audit data access and materialized views without waiting for a ticket to be filled.
Infrastructure SRE
The SRE who needs to monitor cluster health and disk usage across nodes in real-time.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Enterprise distributed relational database. manage clusters, tenants, and databases via AI.
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Execute streaming SQL, manage compute clusters, and monitor real-time data pipelines directly from your AI agent.
Amazon Redshift
Equip your AI to directly query, analyze, and manage your petabyte-scale data warehouse via the serverless AWS Redshift Data API.
Snowflake
Execute SQL queries, manage databases, and analyze data on Snowflake with AI agents.
Bring your own AI
Change the model, client or framework. Keep StarRocks 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 StarRocks.
The practical details behind the request, access and result.
Can I use StarRocks MCP to run SQL queries?
Yes, you can run arbitrary SQL queries directly through your AI agent. This allows you to pull real-time data insights without leaving your workspace.
Does StarRocks MCP help with cluster health?
Yes, it lets you check the status of both frontend and backend nodes. You can quickly identify which parts of your infrastructure are online or healthy.
Can I monitor my data ingestion with StarRocks MCP?
Yes, you can view your load jobs and their performance metrics. This helps you stay on top of your pipelines and identify failed tasks immediately.
Is StarRocks MCP good for auditing schemas?
Yes, it can list all databases, tables, and schemas instantly. It makes it much easier to audit your data structures and understand your environment.
How do I check storage space using StarRocks MCP?
You can ask your agent to retrieve disk usage statistics for the whole cluster. It provides a clear picture of your storage capacity across all nodes.
Can StarRocks MCP see my materialized views?
Yes, it can list all your materialized views and database views. This is helpful for managing your pre-computed analytics and ensuring they are up to date.
How do I find my StarRocks FE Host and Port?
The FE Host is the IP address or domain of your StarRocks Frontend node. The default HTTP port is 8030. You can verify these in your deployment configuration or by contacting your administrator.
Can I execute DELETE or UPDATE queries through this server?
Yes. Use the execute_query capability. As long as your authenticated user has the necessary permissions in StarRocks, you can execute any valid SQL statement, including DDL and DML operations.
Is it possible to monitor cluster health through the agent?
Yes! Use the get_cluster_info and list_nodes capabilities to retrieve real-time status for all Frontend and Backend nodes, helping you identify offline or overloaded nodes instantly.
One connection away
Give your agent a direct line to StarRocks.
Connect StarRocks once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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