Databricks Workspace

Live 36 Actions

Databricks Workspace Integration for AI Agents

Connect your AI agent to 36 QA'd Databricks Workspace actions via MCP, A2A, or SDK, with agent authentication, tool-calling execution, and security built-in.

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Databricks Workspace AI Agent Actions

36 production-ready actions for your agent to do more on Databricks Workspace.

Read the Databricks Workspace docs

36 Actions

List Clusters - List all pinned, active, and recently terminated clusters in the workspace

Get Cluster - Retrieve the configuration and state of a specific cluster by ID

Create Cluster - Create a new Databricks compute cluster with the supplied configuration

Edit Cluster - Update the configuration of an existing cluster to match the supplied attributes

Start Cluster - Start a terminated Spark cluster using its existing configuration

Restart Cluster - Restart a Spark cluster that is currently running

Terminate Cluster - Terminate a running cluster while preserving its configuration

Permanently Delete Cluster - Permanently delete a cluster, removing its configuration entirely

List Spark Versions - List the Spark versions available for use when creating a new cluster

List Node Types - List the supported node types available for cluster worker and driver nodes

List Jobs - List all jobs in the workspace

Get Job - Get details of a specific job

Create Job - Create a new job in the workspace

Update Job - Partially update a job's settings

Delete Job - Delete a job from the workspace

Run Job - Trigger a job run immediately

List Job Runs - List runs for a specific job or all runs in the workspace

Get Job Run - Get details of a specific job run

Cancel Job Run - Cancel an active job run

Get Job Run Output - Get the output of a completed job run task

Execute SQL Statement - Execute a SQL statement on a warehouse

Get SQL Statement - Get the status and results of a SQL statement execution

Cancel SQL Statement - Cancel a running SQL statement execution

List SQL Warehouses - List all SQL warehouses in the workspace

Get SQL Warehouse - Get details of a specific SQL warehouse

Create SQL Warehouse - Create a new SQL warehouse

Edit SQL Warehouse - Update configuration of an existing SQL warehouse

Start SQL Warehouse - Start a stopped SQL warehouse

Stop SQL Warehouse - Stop a running SQL warehouse

Delete SQL Warehouse - Delete a SQL warehouse

List Workspace Objects - List objects in a workspace directory

Get Workspace Object Status - Get metadata for a workspace object

Create Workspace Directory - Create a directory in the workspace

Import Workspace Object - Import a notebook or file into the workspace

Export Workspace Object - Export a notebook or file from the workspace

Delete Workspace Object - Delete a workspace object

Do More, Build Less

Integration Infrastructure for Databricks Workspace AI Agents

Multiple Interfaces

Access integrations via API, AI SDKs, MCP & A2A.

Databricks Workspace MCP server

Managed Authentication

Pre-built authentication UI.

Agent auth

Falcon Engine

Every Databricks Workspace action runs on Falcon.

Agent Execution Engine

StackOne Defender

88.7% prompt injection detection.

Prompt injection defense

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"What impressed us most about StackOne is its ambition and clarity. They're creating infrastructure that modern software and the entire AI agent ecosystem can rely on. The depth of secure integrations, the pace of delivery, and the team's foresight into AI's future uniquely position StackOne to redefine this category."

Luna Schmid, Partner at GV

"We've been impressed by how quickly and deeply StackOne integrates with complex enterprise systems -- and now, with their focus on agent-to-agent interoperability, they're unlocking even more powerful use cases for customers. StackOne delivers all of the above in a universal layer -- without compromise."