databricks-config

Use the manage_workspace MCP tool for all workspace operations. Do NOT edit ~/.databrickscfg , use Bash, or use the Databricks CLI.

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Install skill "databricks-config" with this command: npx skills add databricks-solutions/ai-dev-kit/databricks-solutions-ai-dev-kit-databricks-config

Use the manage_workspace MCP tool for all workspace operations. Do NOT edit ~/.databrickscfg , use Bash, or use the Databricks CLI.

Steps

Call ToolSearch with query select:mcp__databricks__manage_workspace to load the tool.

Map user intent to action:

  • status / which workspace / current → action="status"

  • list / available workspaces → action="list"

  • switch to X → call list first to find the profile name, then action="switch", profile="<name>" (or host="<url>" if a URL was given)

  • login / connect / authenticate → action="login", host="<url>"

Call mcp__databricks__manage_workspace with the action and any parameters.

Present the result. For status /switch /login : show host, profile, username. For list : formatted table with the active profile marked.

Note: The switch is session-scoped — it resets on MCP server restart. For permanent profile setup, use databricks auth login -p <profile> and update ~/.databrickscfg with cluster_id or serverless_compute_id = auto .

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databricks-python-sdk

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skill-test

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