# Databricks MCP

> Use this tool when you need to manage and govern Unity Catalog resources or execute SQL queries on large datasets in Databricks SQL Warehouses, solving data management and analytics problems by providing a centralized interface for catalogs, schemas, and tables. It accepts SQL queries as input and returns query results as output, enabling data analysis and insights. Ideal for use cases requiring data governance, querying, and analytics on Databricks platforms.

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

## Description

Enables management of Unity Catalog resources (catalogs, schemas, tables) and execution of SQL queries on Databricks SQL Warehouses.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wit5lzztqc)
- **Repository:** <https://github.com/amslimaa/databricks-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": "amslimaa-databricks-mcp"
    }
  }
}
```

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