How to Use the Databricks MCP in Windsurf

Q: How do I connect Databricks to Windsurf?

Add the server config to your /.codeium/windsurf/mcpconfig.json file. Once you save the file, hit the refresh button in the MCP panel to see your tools.

Q: Can Windsurf run Databricks SQL queries?

Windsurf uses this MCP Server to audit SQL warehouses via listwarehouses. While it doesn't execute queries directly, it gives you the metadata needed to plan your work.

Use the Databricks MCP Server in Windsurf to manage your lakehouse directly through Cascade.

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Connect Databricks MCP to Windsurf

Create your Vinkius account to connect Databricks to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Databricks with Windsurf

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Manage your Databricks clusters inside Windsurf

Cascade pulls live cluster state immediately. It hits `get_cluster` and `list_clusters` to show you exactly what is running without you leaving the editor. You avoid context switching when you need to check if a specific compute resource is active. Windsurf handles the connection so you stay in the flow.

Browse Unity Catalog with Windsurf

Ask Cascade to map your data layout using `list_catalogs` and `list_schemas`. It pulls the structure into your active session so you can reference table names without manual lookups. This keeps your schema definitions current. You see the actual state of your lakehouse rather than relying on stale documentation.

Monitor job execution via Windsurf

Trigger `list_jobs` or `list_job_runs` to see what finished and what failed. Cascade parses the output and highlights errors before you even open the dashboard. It saves you from digging through logs manually. You get a clear picture of your pipeline health right in your IDE sidebar.

Setup guide

Set up Databricks MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Databricks MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Databricks payment history." If connected, Cascade will call the Databricks tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "databricks-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Databricks MCP in Windsurf

Add the server config to your ~/.codeium/windsurf/mcp_config.json file. Once you save the file, hit the refresh button in the MCP panel to see your tools.

Windsurf uses this MCP Server to audit SQL warehouses via `list_warehouses`. While it doesn't execute queries directly, it gives you the metadata needed to plan your work.

You can use the server to list jobs and check their status. It provides the visibility needed to manage your schedules without leaving your editor.

Yes. The server only transmits the specific metadata you request to the AI. Your raw table data remains inside your secure environment.

Vinkius manages the auth layer. You provide a single endpoint token, and the server handles the rest of the handshake securely.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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