# StarRocks

> Use this tool when you need to efficiently query and manipulate data in StarRocks databases, enabling seamless integration and execution of read and write queries. It solves problems related to data retrieval and modification, providing tools for SELECT operations and DDL/DML commands. The server connects to StarRocks instances with customizable settings, making it ideal for use cases requiring flexible data management in StarRocks environments.

Canonical page: https://skillsregistry.net/skills/starrocks  
JSON: https://api.skillsregistry.net/v1/skills/starrocks

## Description

This official MCP server for StarRocks enables seamless integration with StarRocks databases. It provides tools for executing both read and write queries, allowing users to perform SELECT operations that return ResultSets as well as DDL/DML commands. The server is configured to connect to StarRocks instances with customizable host, port, user, and password settings. It's designed for use cases requiring efficient data querying and manipulation in StarRocks environments.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/starrocks)
- **Repository:** <https://github.com/starrocks/mcp-server-starrocks>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "starrocks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/starrocks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/starrocks/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
