Use Databricks with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Manage lakehouse via Databricks. monitor compute clusters, track job executions, audit SQL warehouses, and explore Unity Catalog directly from any AI agent.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 8 capabilities
The complete Databricks capability set.
These are the exact actions your AI can choose when you ask it to work with Databricks.
01-04
4 capabilities in this set.
Part of 8 available through Databricks.
- 01
Get cluster
Get cluster details from Databricks
- 02
Get me
Get current user from Databricks
- 03
List schemas
List schemas in catalog from Databricks
- 04
List warehouses
List SQL warehouses from Databricks
05-08
4 capabilities in this set.
Part of 8 available through Databricks.
- 05
List clusters
List all clusters from Databricks
- 06
List catalogs
List Unity Catalog catalogs from Databricks
- 07
List job runs
List job runs from Databricks
- 08
List jobs
List all jobs from Databricks
Observed, not estimated
818ms average. Fast in production.
Databricks is checked daily against the live service.
- Fastest day
- 644ms
- Slowest day
- 1006ms
- 14-day trend
- Slowing+38%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 8 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Databricks, so you can see the experience inside your AI.
It does not authenticate your account with Databricks. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Databricks Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_aLUngwuWdCUusUCfiR78zXA9b27HYNx59jOLRy9C/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Databricks capabilities are ready to use.
{
"mcpServers": {
"databricks-mcp": {
"url": "https://edge.vinkius.com/vk_preview_aLUngwuWdCUusUCfiR78zXA9b27HYNx59jOLRy9C/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Databricks owners ask.
- 01
Can my agent check the status of a specific Databricks job run?
Yes. Provide the 'job_id' to the 'list_job_runs' capability. The agent will retrieve the chronological history of executions, allowing you to identify successful completions or precise points of failure in your workflows.
- 02
How do I explore schemas within a specific Unity Catalog via chat?
Use the 'list_schemas' capability and provide the catalog name. Your agent will pull the detailed databases and schemas registered inside that Unity Catalog, giving you immediate visibility into your data hierarchy.
- 03
Can I monitor the health of my Databricks clusters through the agent?
Absolutely. The 'list_clusters' and 'get_cluster' capabilities allow your agent to retrieve detailed node information and operational statuses, helping you audit cluster health and capacity across your workspace.
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