Developer Tools & DevOps

Connect Databricks to Your AI Agents

Enable your Wkil agents to trigger and monitor jobs, manage SQL warehouses, and query vector indexes through a secure Databricks integration.

Authentication: OAuth 2.0

Build with Databricks

What you can do

Trigger and monitor data/ML job runs
Manage SQL warehouse compute
Query vector search indexes

Available capabilities may vary by authentication and workspace configuration.

Actions supported by the connector

447 verified tools

Submit Databricks Job Run

Trigger a run of a configured Databricks job.

List Databricks Jobs

List jobs configured in the workspace.

Get Databricks Job Run Details

Retrieve status and output details for a job run.

Start SQL Warehouse

Start a SQL warehouse compute resource.

Query Vector Search Index

Run a similarity search against a vector index.

Cancel Databricks Job Run

Cancel a currently running job.

Create Databricks App

Create a new Databricks app deployment.

Deploy Databricks App

Deploy a Databricks app to a workspace.

Get Catalog Details

Retrieve metadata for a Unity Catalog catalog.

Add Member to Security Group

Add a member to a workspace security group.

View all verified tools (search)

Add Member to Security GroupDelete Custom LLM AgentCreate Databricks AppDelete Databricks AppDeploy Databricks AppGet Databricks App DetailsGet Databricks App Permission LevelsGet Databricks App PermissionsGet App Deployment UpdateSet Databricks App PermissionsStart Databricks AppStop Databricks AppUpdate Databricks AppUpdate Databricks App PermissionsCancel Databricks Job RunGet Catalog Artifact AllowlistDelete CatalogGet Catalog DetailsCreate Catalog ConnectionDelete Catalog ConnectionGet Catalog ConnectionUpdate Catalog ConnectionCreate Catalog CredentialDelete Catalog CredentialGenerate Temporary Service CredentialGet Catalog CredentialUpdate Catalog CredentialValidate Catalog CredentialGet Entity Tag AssignmentCreate External LocationDelete External LocationGet External Location DetailsUpdate External LocationUpdate External MetadataUpdate Catalog FunctionGet Catalog GrantsGet Effective Catalog PermissionsUpdate Catalog GrantsAssign Metastore to WorkspaceCreate MetastoreGet 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Practical agent use cases

An agent triggers a data pipeline job and reports back once it completes.
An agent checks why a scheduled job run failed overnight.

How it works with Wkil

1
Choose the integration
Add Databricks to your agent from inside the Wkil platform.
2
Grant the permissions it needs
Define precisely what the agent can access and perform.
3
Test, then run it
Test actions before they go live, with human approval where needed.

Permissions always stay in your control — you can scope access and require human approval before any sensitive action.

Related integrations

FAQ

Can an agent modify production data pipelines?

Access is scoped to what you authorize — an agent can be limited to triggering and monitoring existing jobs rather than editing pipeline logic.