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MCP Integrations Databricks
MCP & AI Agent Integration

Databricks
automation.

18 AI agent actions for Databricks — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Databricks to automate business processes and connect tools in your stack. Full governance, audit trail, and dry-run safety on every execution.

Connect Databricks free Browse all integrations →
No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
18
actions
100%
governed
<200ms
latency
18
AI agent actions
9
Read operations
9
Write operations
2
High-risk actions (approval gated)
Business Tools Databricks is a Business Tools integration — use it to automate business operations and workflow automation from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Databricks.

Every action below is available as an MCP tool and a verb in Cerebral OS — callable from any AI agent, Claude, Cursor, Windsurf, or your own runtime via the BYOA API. All executions are governed, audited, and dry-run safe.

Get Cluster
databricks:get_cluster
Get detailed information about a specific cluster including configuration and status.
Read Low risk
Get Job
databricks:get_job
Get detailed information about a specific job including its configuration and settings.
Read Low risk
Get Notebook
databricks:get_notebook
Export and retrieve notebook content in the specified format.
Read Low risk
Get Run
databricks:get_run
Get detailed information about a specific job run including status and results.
Read Low risk
List Clusters
databricks:list_clusters
List all clusters in the workspace with their current status and configuration.
Read Low risk
List Jobs
databricks:list_jobs
List all jobs in the workspace with their configuration and recent run status.
Read Low risk
List Libraries
databricks:list_libraries
List all libraries installed on a specific cluster with their status.
Read Low risk
List Notebooks
databricks:list_notebooks
List notebooks and folders in a workspace path.
Read Low risk
List Runs
databricks:list_runs
List job runs with optional filters for job ID, state, and time range.
Read Low risk
Cancel Run
databricks:cancel_run
Cancel a running job. The run will transition to TERMINATING then TERMINATED state.
Write High risk
Create Cluster
databricks:create_cluster
Create a new Databricks cluster with specified configuration.
Write Medium risk
Create Notebook
databricks:create_notebook
Create a new notebook in the workspace with optional initial content.
Write Medium risk
Delete Notebook
databricks:delete_notebook
Delete a notebook or folder from the workspace. This action cannot be undone.
Write High risk
Install Library
databricks:install_library
Install a library on a cluster. The cluster must be running for installation to begin.
Write Medium risk
Run Job
databricks:run_job
Trigger a job run with optional parameters. Returns the run ID to track progress.
Write Medium risk
Start Cluster
databricks:start_cluster
Start a terminated cluster. The cluster will transition to PENDING then RUNNING state.
Write Medium risk
Terminate Cluster
databricks:terminate_cluster
Terminate a running cluster. This will stop all running jobs and shut down the cluster.
Write Medium risk
Uninstall Library
databricks:uninstall_library
Uninstall a library from a cluster. The cluster must be restarted for changes to take effect.
Write Medium risk
MCP & Runtime API

Call Databricks
from any AI agent.

Any AI agent — Claude, Cursor, LangChain, AutoGen, or your own — can call Databricks actions through the Cerebral OS Runtime API. Governance, credentials, and audit trail fire automatically.

databricks:get_cluster READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "databricks:get_cluster",
    "args": {},
    "execution_id": "agent-001"
  }'
databricks:cancel_run WRITE
# Dry-run first — no production risk
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "databricks:cancel_run",
    "args": {},
    "execution_id": "agent-001",
    "metadata": {"dryRun": true}
  }'
Get your Runtime API key at app.cerebralos.com/signup — 1,000 free executions, no credit card required.
AI agent examples

What your AI agent
can do with Databricks.

Real patterns your AI agent can execute via MCP or the Runtime API. Every action governed, dry-run safe, and fully audited.

Trigger
AI agent needs Databricks data
Call databricks:get_cluster via MCP or Runtime API
AI processes result and takes next action
Full execution logged to audit trail automatically
Trigger
Workflow needs to write to Databricks
Dry-run validates databricks:cancel_run before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Event in Databricks
Process with AI agent
Take governed action
Log to audit trail
How it works

Every Databricks action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Databricks — adding governance, dry-run safety, and a full audit trail to every operation.

Governance first
Every verb carries a risk classification. High-risk writes require explicit approval gates before they execute in production.
Dry-run safe
Simulate any Databricks action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Databricks action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Databricks works best
alongside these.

Build multi-step workflows that connect Databricks to the rest of your stack. All governed. All audited.

Slack Gmail Hubspot Google Sheets Notion
Databricks integration

Start free.
No credit card required.

Start free with 1,000 runs — no credit card required. Connect Databricks in minutes, dry-run every action before it touches production, full audit trail on everything.

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