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Databricks is a unified analytics platform for data engineering, data science, and machine learning. The Databricks MCP server lets you manage clusters, run jobs, execute SQL, and query ML endpoints using natural language.

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What Can It Do?

  • Manage clusters by listing, starting, and terminating on demand
  • Orchestrate jobs by triggering runs and fetching outputs
  • Run SQL on warehouses and return structured data
  • Query ML endpoints and vector indexes for AI workflows

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Where to Use It

Add Databricks as a tool to any agent. The agent can then interact with your workspace conversationally, choosing the right actions based on context. To add an MCP tool to your agent:
  1. Open your agent’s configuration
  2. Click Add tools → Connect an app with MCP
  3. Search for the integration and select it
  4. Authenticate with your account
You can control which tools your agent has access to. After adding an integration, click on it to enable or disable specific tools based on what your agent needs.

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In Workflows (Via Agent Node)

For automated pipelines, use an Agent Node with Databricks tools. This gives you the flexibility of an agent within a deterministic workflow.

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As a Custom MCP Node

You can also create a standalone MCP node for a specific action. This generates a reusable node that performs one task, useful when you need the same operation repeatedly in workflows.
To create a custom MCP node:
  1. Go to your node library and search for the integration
  2. Click Create a node with AI
  3. Describe the specific action you want (e.g., “List all active clusters”)
  4. Test the node and save it for reuse
Custom MCP nodes are single-purpose by design. For tasks that require multiple steps or dynamic decision-making, use an agent instead.

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Available Tools

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Example Prompts

Use these with your agent or in the Agent Node: Manage clusters:
Start compute:
Run a job:
Execute SQL:
Query ML endpoint:

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Troubleshooting

Agents are smart enough to chain multiple API calls together. For example, asking “Run the ETL job” will find the job first, then trigger it. If results seem off, check the agent’s step-by-step reasoning.

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Need Help?

Use this integration directly in Claude or Cursor. Connect remotely via the Databricks MCP server using credentials from your Connectors page.