# Databricks SQL

> Use this tool when you need to execute SQL queries directly against large datasets and catalogs, solving data exploration and analysis problems by providing insights into schemas, tables, and metadata. It accepts SQL queries as input and returns query results, enabling data-driven decision-making. Ideal for data analysts and scientists working with Databricks Unity Catalog.

Canonical page: https://skillsregistry.net/skills/benguy1000-databricks-sql  
JSON: https://api.skillsregistry.net/v1/skills/benguy1000-databricks-sql

## Description

Provides direct SQL query execution against Databricks Unity Catalog through the Databricks SDK, enabling exploration of catalogs, schemas, and tables along with their metadata.

## 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:** 2026-06-11

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/benguy1000-databricks-sql)
- **Repository:** <https://github.com/benkeeley9/databricks-sql-mcp>

## 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": "benguy1000-databricks-sql"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benguy1000-databricks-sql` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benguy1000-databricks-sql/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