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Databricks MCP Server

by samhavens
  • Linux
  • Apple

create_job

Automate and schedule Databricks notebook execution by configuring new jobs with customizable parameters, timeouts, and serverless options using the MCP server.

Instructions

Create a new Databricks job to run a notebook (uses serverless by default)

Input Schema

NameRequiredDescriptionDefault
cluster_idNo
job_nameYes
notebook_pathYes
parametersNo
timeout_secondsNo
use_serverlessNo

Input Schema (JSON Schema)

{ "properties": { "cluster_id": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Cluster Id" }, "job_name": { "title": "Job Name", "type": "string" }, "notebook_path": { "title": "Notebook Path", "type": "string" }, "parameters": { "anyOf": [ { "type": "object" }, { "type": "null" } ], "default": null, "title": "Parameters" }, "timeout_seconds": { "default": 3600, "title": "Timeout Seconds", "type": "integer" }, "use_serverless": { "default": true, "title": "Use Serverless", "type": "boolean" } }, "required": [ "job_name", "notebook_path" ], "title": "create_jobArguments", "type": "object" }

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/samhavens/databricks-mcp-server'

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