Manage Databricks workspace connections: check current, switch profiles, list available workspaces, or authenticate to a new workspace.
npx claudepluginhub databricks-solutions/ai-dev-kit --plugin databricks-ai-dev-kitThis skill uses the workspace's default tool permissions.
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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Provides demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation for multi-location retailers managing 300-800 SKUs.
Use the manage_workspace MCP tool for all workspace operations. Do NOT edit ~/.databrickscfg, use Bash, or use the Databricks CLI.
Call ToolSearch with query select:mcp__databricks__manage_workspace to load the tool.
Map user intent to action:
action="status"action="list"list first to find the profile name, then action="switch", profile="<name>" (or host="<url>" if a URL was given)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~/.databrickscfgwithcluster_idorserverless_compute_id = auto.