# databricks-sql-mcp

> Use this tool when you need to execute SQL queries and explore databases on Databricks, solving data analysis and exploration problems by providing a unified interface to query and manage data catalogs, tables, and databases. It takes SQL queries as input and returns query results, enabling AI assistants to interact with Databricks data. Ideal for use cases requiring data discovery, querying, and analysis on Databricks using Unity Catalog.

Canonical page: https://skillsregistry.net/skills/benkeeley9-databricks-sql-mcp  
JSON: https://api.skillsregistry.net/v1/skills/benkeeley9-databricks-sql-mcp

## Description

Enables AI assistants to execute SQL queries and explore databases, tables, and catalogs on Databricks using Unity Catalog.

## Trust

- **Trust score (0–1):** 0.69
- **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/q33nrdqrw2)
- **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": "benkeeley9-databricks-sql-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benkeeley9-databricks-sql-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benkeeley9-databricks-sql-mcp/pull`

---
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