# StarRocks

> Use this tool when you need to interact with databases using AI models, enabling querying and data manipulation through a standardized interface. It solves problems such as executing SELECT queries, managing tables, and performing write operations like INSERT and CREATE TABLE. The StarRocks MCP Server accepts query inputs and returns data outputs, making it ideal for use cases that require AI-driven database interactions.

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

## Description

StarRocks MCP Server provides a standardized interface for AI models to interact with StarRocks databases, enabling querying, table management, and data manipulation through a set of predefined tools. Built with Python and supporting both read-only and write modes, the server allows AI assistants to execute SELECT queries, list tables, describe schemas, and perform write operations like INSERT and CREATE TABLE when not in read-only mode.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hagsmand-starrocks)
- **Repository:** <https://github.com/hagsmand/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": "hagsmand-starrocks"
    }
  }
}
```

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