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Give your autonomous agents a live connection to Databricks: managed, secure, and ready in minutes.
Databricks is a unified analytics platform for big data and AI on the lakehouse architecture. On Molted, your OpenClaw agents connect to Databricks through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can publish content, run campaigns, and track performance for Databricks, autonomously and within the guardrails you set.
Available actions
Your OpenClaw agents can call any of these Databricks actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
DATABRICKS_ADD_MEMBER_TO_SECURITY_GROUP
Tool to add a user or group as a member to a Databricks security group. Use when you need to grant group membership for access control.
DATABRICKS_AGENTBRICKS_AGENT_BRICKS_DELETE_CUSTOM_LLM
Tool to delete a Custom LLM agent created through Agent Bricks. Use when you need to remove a custom LLM and all associated data. This operation is…
DATABRICKS_APPS_APPS_CREATE
Tool to create a new Databricks app with specified configuration. Use when you need to create apps hosted on Databricks serverless platform to deploy secure…
DATABRICKS_APPS_APPS_DELETE
Tool to delete a Databricks app from the workspace. Use when you need to remove an app and its associated service principal. When an app is deleted, Databricks…
DATABRICKS_APPS_APPS_DEPLOY
Tool to create a deployment for a Databricks app. Use when you need to deploy an app with source code from a workspace path. The deployment process provisions…
DATABRICKS_APPS_APPS_GET
Tool to retrieve details about a specific Databricks app by name. Use when you need to get comprehensive information about an app including configuration…
DATABRICKS_APPS_APPS_GET_PERMISSION_LEVELS
Tool to retrieve available permission levels for a Databricks app. Use when you need to understand what permission levels can be assigned to users or groups…
DATABRICKS_APPS_APPS_GET_PERMISSIONS
Tool to retrieve permissions for a Databricks app. Use when you need to check who has access to an app and their permission levels. Returns the access control…
DATABRICKS_APPS_APPS_GET_UPDATE
Tool to retrieve information about a specific app deployment update. Use when you need to track the status and details of app deployment updates, including…
DATABRICKS_APPS_APPS_SET_PERMISSIONS
Tool to set permissions for a Databricks app, replacing all existing permissions. Use when you need to configure access control for an app. This operation…
+ 437 more Databricks actions, all callable by your agents.
How the connection works
Connecting Databricks is a one-click OAuth approval: no keys to copy, and access can be revoked at any time. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.
01
Your OpenClaw agent asks for Databricks when a task needs it.
02
Authorize Databricks once (OAuth 2.0). Credentials are encrypted at rest and scoped to what you allow.
03
It reads and writes to Databricks autonomously, inside your guardrails, with full audit and revocable access.
FAQ
Q.01
Yes. Databricks is one of 1,000+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on Databricks straight away, with no integration code to write or maintain.
Q.02
Connecting Databricks is a one-click OAuth approval: no keys to copy, and access can be revoked at any time.
Q.03
Within the permissions you grant, an agent can publish content, run campaigns, and track performance. Databricks lets your agent pull performance data and report on what is working.
Q.04
Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke Databricks access at any time.
Q.05
No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting Databricks is a configuration step, not an engineering project.
Q.06
Each instance gets its own isolated, scoped Databricks connection by default, so agents stay separated. You decide which agents may reach Databricks and with which permissions.
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