ai-agent

Databricks CLI

Name: Databricks CLI
Author: databricks

(Legacy) Command Line Interface for Databricks

397 stars232 forksPythonUpdated 10/5/2023100% free · open source

What it does

The databricks-cli tool allows you to manage Databricks resources, such as clusters, jobs, and notebooks, from the command line.

When to use it

•When you need to automate Databricks tasks using scripts
•When you want to integrate Databricks with other command-line tools
•When you prefer a text-based interface for managing Databricks resources

Ready-to-paste prompt

databricks clusters create --cluster-name my-cluster --node-type i3.xlarge --num-workers 2

Heads up: You need to have a Databricks API token to use the databricks-cli tool, which can be generated in the Databricks web interface

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/databricks-cli && curl -fsSL https://workflowstacks.com/api/skills/databricks-cli/claude-skill -o ~/.claude/skills/databricks-cli/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Databricks CLI works

Codeflow

Free to inspect

Databricks CLI is a medium Python project (~14k lines across 85 code files, plus 57 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 36 months ago, Other license, has a test suite.

Size

Medium codebase

~14k lines · 85 code files · ~2 h to skim

Setup

One-command install

Installs like a normal app. Reading the code is optional.

Runs on

Python · Docker

No API keys detected

Python 100%

Where to start reading

1
README.rst
Start here — what it does and how to install it
2
databricks_cli/cli.py
Where the program starts running
3
requirements.txt
Dependencies and the commands it exposes
4
databricks_cli/__init__.py
Inside databricks_cli/ — the main logic begins here
5
examples/stack/README.md
A worked example — copy this to get going

What's in each folder

databricks_cli/Core code — the actual logic75 files

integration/Sub-packages / plugins6 files

examples/Examples you can copy10 files

scripts/Helper scripts1 files

tests/Tests — proof it works58 files

.devcontainer/Editor / agent settings2 files

.github/CI / automation (GitHub Actions)2 files

.vscode/Editor / agent settings1 files

READMEHas testsDocumentedCI checksDocker readyExamples includedOther licenseLast update 36 mo agoArchived — read only

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/databricks-cli && curl -fsSL https://workflowstacks.com/api/skills/databricks-cli/claude-skill -o ~/.claude/skills/databricks-cli/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

databricks

Language

Python