# Databricks MCP Server

> Use this tool when you need to manage Databricks resources, such as clusters, jobs, and notebooks, through intuitive natural language interfaces. It solves problems related to complex data management and analysis by providing a simple and user-friendly interaction with Databricks. The Databricks MCP Server takes natural language inputs and outputs managed resources and analysis results, ideal for data scientists and analysts working with Databricks.

Canonical page: https://skillsregistry.net/skills/andresgarciasobrado91-databricks-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/andresgarciasobrado91-databricks-mcp-server

## Description

A server that provides tools to interact with Databricks for cluster, job, notebook, DBFS, and SQL management through natural language interfaces like Claude-Desktop and Cursor.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wfdot2s3x7)
- **Repository:** <https://github.com/AndresGarciaSobrado91/databricks-mcp-server>

## 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": "andresgarciasobrado91-databricks-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andresgarciasobrado91-databricks-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andresgarciasobrado91-databricks-mcp-server/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