An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Databricks to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run and monitor your data pipelines through natural conversation.

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 8 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through Databricks.

  1. 01

    Get cluster

    Retrieves specific configuration and status details for a Databricks cluster.

  2. 02

    Get me

    Fetches profile information for the currently authenticated user or service principal.

  3. 03

    List schemas

    Returns a list of all schemas within a specified catalog.

  4. 04

    List warehouses

    Provides a list of configured SQL warehouses in your workspace.

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through Databricks.

  1. 05

    List clusters

    Shows all compute clusters currently available in your Databricks environment.

  2. 06

    List catalogs

    Lists the root catalogs available within Unity Catalog.

  3. 07

    List job runs

    Retrieves the execution history and status of recent Databricks jobs.

  4. 08

    List jobs

    Returns a list of all configured workflows and jobs.

Real work

What teams actually run

01

Pipeline Debugging

When a scheduled job fails, you ask your agent to check the run logs to find the error immediately.

02

Resource Auditing

You can quickly list all active clusters to ensure you aren't exceeding capacity limits.

03

Schema Exploration

You ask your agent to find a specific table by listing catalogs and schemas in Unity Catalog.

04

Warehouse Management

You check the status of SQL Serverless warehouses to ensure they are ready for analytical queries.

Automate a task

Put Databricks to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Databricks works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Databricks to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

832ms average. Fast in production.

Databricks is checked daily against the live service.

Daily averagePeak 1093ms
Oct 3Today
Fastest day
719ms
Slowest day
1093ms
14-day trend
Slowing+20%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_aLUngwuWdCUusUCfiR78zXA9b27HYNx59jOLRy9C/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Databricks capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "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

Guided setup for Claude? Set up Databricks in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Databricks owners hand off.

This MCP is built for technical teams managing large scale data platforms.

  • 01

    Data Engineers

    They use the agent to monitor job runs and cluster health without switching windows.

  • 02

    Analytics Engineers

    They use it to explore Unity Catalog schemas and check SQL warehouse availability.

  • 03

    MLOps Engineers

    They use the agent to track model training jobs and verify compute configurations.

FAQ

Questions Databricks owners ask.

  • 01

    How do I connect this MCP to my Databricks workspace?

    You need your Databricks Host URL and a Personal Access Token (PAT). Once you enter these into Vinkius, you can connect your AI client with one click.

  • 02

    Which AI clients can I use with this Databricks MCP?

    You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    Can I use this to see why my data jobs failed?

    Yes. You can use the capability to list job runs and retrieve logs to identify exactly where a workflow failed.

  • 04

    Does this work with Unity Catalog?

    Yes. The MCP includes capabilities to list catalogs and schemas within Unity Catalog for easy data discovery.

  • 05

    Is my Databricks credential stored by me or Vinkius?

    Vinkius hosts the MCP and manages your credentials securely so you can connect your client once and stay connected.

  • 06

    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.

  • 07

    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.

  • 08

    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.

Explore

More in Industry Titans

Suggestions

Connect Databricks to Claude, Cursor, ChatGPT & more