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databricks-config

Manage Databricks workspace connections across multiple environments.

1|Updated Mar 17, 2026
Search Tags:#authentication#mcp#config#workspace#management#switch#databricks
One-click install
npx skills add https://github.com/leary-poken/ai-dev-kit --skill databricks-config-leary-poken
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: databricks-config
Source: https://github.com/leary-poken/ai-dev-kit/tree/main/databricks-skills/databricks-config
Command: npx skills add https://github.com/leary-poken/ai-dev-kit --skill databricks-config-leary-poken

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Databricks workspace management can be error-prone when switching between environments, causing misconfigurations and lost context. This Skill provides a safe, repeatable workflow to inspect current workspaces, switch contexts, and authenticate without manual config edits.

Core Features & Use Cases

  • Load and execute the MCP tool to manage workspace connections across environments.
  • Show current workspace, list available workspaces, and switch to a selected profile.
  • Authenticate to a new workspace securely without editing local config files.

Quick Start

Use the MCP tool to view and switch your active Databricks workspace.

Frequently Asked Questions about databricks-config

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I switch between multiple Databricks workspaces without manual config edits?▼

Switch Databricks workspaces safely by loading the manage_workspace MCP tool to view current profiles, list available contexts, and apply the selected workspace, avoiding manual local configuration edits entirely.

How does the MCP tool manage Databricks workspace authentication?▼

The MCP tool manages Databricks authentication by following prescribed prompts and safeguards to securely log into a new workspace, eliminating the risk of misconfigurations from manual local config file edits.

What is the best way to list and check the status of available Databricks workspaces?▼

The best way to check Databricks workspace status is using the manage_workspace MCP tool, which inspects your current active workspace context and lists all available configured profiles for immediate review.

Why does switching Databricks environments cause lost context and misconfigurations?▼

Switching Databricks environments causes misconfigurations when manual config edits introduce errors, but using the MCP tool enforces repeatable workflows with safeguards to inspect, switch, and authenticate contexts safely.

Can I authenticate to a new Databricks workspace without editing local config files?▼

Yes, you can authenticate to a new Databricks workspace without editing local config files by executing the manage_workspace MCP tool, which handles the login workflow securely through prescribed prompts.

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