# Databricks

> Use this tool when you need to manage Databricks resources, execute queries, or automate workflows from a conversation interface. It provides a standardized bridge between AI assistants and Databricks services, enabling interaction with clusters, jobs, and workspaces via a REST API wrapper. Ideal for data scientists and engineers, it streamlines workflow automation and query execution through a compatible stdio transport protocol interface.

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

## Description

Databricks MCP Server provides a bridge between AI assistants and Databricks services through a standardized interface. It enables interaction with Databricks clusters, jobs, notebooks, DBFS, and SQL workspaces via tools that wrap the Databricks REST API. The server follows the stdio transport protocol, making it compatible with Claude Desktop integration, and includes comprehensive error handling and logging. Particularly valuable for data scientists and engineers who need to manage Databricks resources, execute queries, or automate workflows without leaving their conversation interface.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/databricks)
- **Repository:** <https://github.com/justtryai/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": "databricks"
    }
  }
}
```

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