How to Use the StarRocks MCP in Cline

Q: How do I validate StarRocks query performance using Cline?

Run the query first via executequery. If it's slow, check the cluster status by calling getclusterinfo to see if there are node issues. You might need to adjust your SQL based on resource limitations.

Q: Does Cline help track data ingestion in StarRocks?

Yes, you can use the listjobs tool to see all scheduled and completed data load jobs. This confirms if data was successfully piped into your StarRocks environment.

Q: What types of metadata does Cline provide for StarRocks?

Cline offers several views: you can list databases using listdatabases, or check specific tables with gettableschema. It provides a complete map of your data assets.

Q: Can I see all the available tables in StarRocks through Cline?

Sure thing. First, use listdatabases to pick a database name. Then, run listtables against that specific database to get an exhaustive list of every table.

Execute complex StarRocks analytics right inside VS Code using Cline.

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Setup StarRocks with Cline

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Run Ad-Hoc Queries with Cline

Use `execute_query` to fire off any SQL query directly. You type the SELECT statement, and Cline sends it to StarRocks for results. It handles everything from simple aggregations to complex joins across your data sets. The output is displayed cleanly in the editor panel.

Inspect Database Structure via Cline

`list_databases` shows you every available database name right away. Need details? You can run `get_table_schema` for any table to see its column names and data types. Cline lets you explore the whole stack, too. Tools like `list_tables` and `list_views` map out exactly what lives inside a given database.

Monitor Cluster Health with Cline

You need to know if StarRocks is running right. Call `get_cluster_info` to get details on the frontend nodes immediately. Need usage numbers? `get_storage_usage` gives you a quick tally of how much data is stored. It also tracks jobs and resources, letting you run `list_nodes` or check out active materialized views with `list_mvs`.

Setup guide

Set up StarRocks MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type starrocks-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest StarRocks refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

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Common questions about StarRocks MCP in Cline

Run the query first via `execute_query`. If it's slow, check the cluster status by calling `get_cluster_info` to see if there are node issues. You might need to adjust your SQL based on resource limitations.

Yes, you can use the `list_jobs` tool to see all scheduled and completed data load jobs. This confirms if data was successfully piped into your StarRocks environment.

Cline offers several views: you can list databases using `list_databases`, or check specific tables with `get_table_schema`. It provides a complete map of your data assets.

Sure thing. First, use `list_databases` to pick a database name. Then, run `list_tables` against that specific database to get an exhaustive list of every table.

The MCP Server exposes the full structure of your schema via `get_table_schema`. This lets you confirm exactly which columns and data types are being used for sensitive information.

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