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Vinkius runs on Cursor

How to Use the StarRocks MCP in Cursor

Write StarRocks API code snippets live in Cursor using the MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

StarRocks MCP on Cursor AI Code Editor MCP Client StarRocks MCP on Claude Desktop App MCP Integration StarRocks MCP on OpenAI Agents SDK MCP Compatible StarRocks MCP on Visual Studio Code MCP Extension Client StarRocks MCP on GitHub Copilot AI Agent MCP Integration StarRocks MCP on Google Gemini AI MCP Integration StarRocks MCP on Lovable AI Development MCP Client StarRocks MCP on Mistral AI Agents MCP Compatible StarRocks MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Cursor

Connect StarRocks MCP to Cursor

Create your Vinkius account to connect StarRocks to Cursor — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Running Live Queries

The `execute_query` tool lets you write and test arbitrary SQL queries directly into your active code block. When you call this function, it executes against StarRocks, and the real API response populates your local variable—no stubs needed. This means your AI agent can generate working, live-data-aware code that interacts with complex joins and aggregations in StarRocks.

Schema Inspection for Coding

Before writing a SELECT statement, you need to know the structure. Use `get_table_schema` to pull column names and data types into your code context. This prevents runtime errors because your AI agent uses real schema information. Similarly, calling `list_databases` gives you the necessary scope paths needed for accurate StarRocks API calls.

Monitoring Cluster State

Integrating cluster monitoring into code is crucial. You can use `get_cluster_info` to pull current frontend node details or call `list_nodes` to get a list of all connected backend nodes. This lets you build automated checks that validate the operational status of your StarRocks environment before deployment.

Setup guide

Set up StarRocks MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the StarRocks MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent StarRocks transactions." If the MCP tools are loaded correctly, Cursor will call the StarRocks tools automatically. You can also check Settings → MCP for a green status indicator.

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by StarRocks. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about StarRocks MCP in Cursor

The AI agent uses tools like `execute_query` and `get_table_schema` to gather live data. It then injects that real API response directly into the Python or JavaScript code you are writing, making your code functional immediately.
Yes. You can call `list_jobs` to retrieve job metadata and incorporate status checks into your development workflow. This is useful for building monitoring scripts around scheduled data loads.
Beyond queries, you can manage resources by listing materialized views with `list_mvs`, or checking the physical location of tables using `list_tables` within a specific database.
It’s ideal. Since you're mid-coding, having access to live API results from tools like `get_storage_usage` means your code reflects the true state of your StarRocks data.
The server interacts with metadata, specifically database structure (column names and data types) retrieved via `get_table_schema`. It does not expose raw user PII.

Start using the StarRocks MCP today

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