# bricks-use

> Use this tool when you need to execute Databricks SQL queries and compare table data, providing a seamless experience through CLI and VS Code integration. It solves problems related to data analysis and comparison, making it ideal for data engineers and analysts. The tool accepts SQL queries as input and outputs comparison results, facilitating data-driven decision-making.

Canonical page: https://skillsregistry.net/skills/aymenfurter-bricks-use  
JSON: https://api.skillsregistry.net/v1/skills/aymenfurter-bricks-use

## Description

MCP server for executing Databricks SQL queries and comparing table data, supporting CLI and VS Code integration.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vgxxukwwxh)
- **Repository:** <https://github.com/aymenfurter/bricks-use>

## 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": "aymenfurter-bricks-use"
    }
  }
}
```

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