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Connectors Databricks
Live 26 Actions

Databricks Integration for AI Agents

Connect your AI agent to 26 production-ready Databricks actions via MCP, A2A, or SDK — with agent authentication, optimized tool-calling execution, and built-in security.

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Databricks AI Agent Actions

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

26 Actions
List Groups - Get all groups in the Databricks account
Get Group - Retrieve a specific group by ID
Create Group - Create a new group in the Databricks account
Update Group - Update an existing group's attributes
Delete Group - Remove a group from the Databricks account
Add Group Member - Add a user or service principal to a group
Remove Group Member - Remove a user or service principal from a group
Get Current IAM Credentials (Databricks /Me) - Return the authenticated identity and auth type for the current Databricks connection via the SCIM /Me endpoint. Maps to the StackOne IAM unified credentials schema. auth_type is "oauth" for OAuth connections, "api_key" for SCIM Token connections.
List IAM Groups (Databricks Account SCIM) - List all groups in the connected Databricks account via the Account SCIM API, mapped to the StackOne IAM unified group schema. Returns group id, display name, and type ("group"). Uses index-based SCIM 2.0 pagination (100 per page).
Get IAM Group (Databricks Account SCIM) - Retrieve a single Databricks account group by its SCIM group ID, mapped to the StackOne IAM unified group schema. Optionally pass expand=["users"] to inline the group's members. Returns group id, display name, type, and timestamps.
List IAM Organizations (Databricks Account) - Return the Databricks account as a single IAM organization record. Each connection targets exactly one Databricks account (identified by the Account ID configured during connection setup). Returns one record with the account ID as id/remote_id.
Get IAM Organization (Databricks Account) - Retrieve the Databricks account as a single IAM organization. Each connection targets exactly one account — pass the id returned by unified_list_organizations.
List IAM Roles (synthesized From Databricks Account Roles) - Return the two stable account-level IAM roles (account_admin / user) synthesized from Databricks SCIM roles[].value field on user records. The role set is static and closed, matching role IDs embedded in IamUser.roles[] on this connector.
Get IAM Role (synthesized Databricks Account Role) - Retrieve a single synthesized Databricks IAM role by its stable key. Only "account_admin" and "user" are valid — the role namespace is closed because Databricks has no general-purpose roles API.
List IAM Users (Databricks Account SCIM) - List all users in the connected Databricks account via the Account SCIM API, mapped to the StackOne IAM unified user schema. Returns identity, status (enabled/disabled), email, name, and group membership. Uses index-based SCIM 2.0 pagination (100 per page).
Get IAM User (Databricks Account SCIM) - Retrieve a single Databricks account user by their SCIM user ID, mapped to the StackOne IAM unified user schema. Optionally pass expand=["groups"] to inline the user's group memberships. Returns identity, status, email, name, and synthesized roles.
List Service Principals - Get all service principals in the Databricks account
Get Service Principal - Retrieve a specific service principal by ID
Create Service Principal - Create a new service principal in the Databricks account
Update Service Principal - Update an existing service principal's attributes
Delete Service Principal - Remove a service principal from the Databricks account
List Users - Get all users in the Databricks account
Get User - Retrieve a specific user by ID
Create User - Create a new user in the Databricks account
Update User - Update an existing user's attributes
Delete User - Remove a user from the Databricks account

Do More, Build Less

Integration Infrastructure for Databricks AI Agents

Multiple Interfaces

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

Databricks MCP server
Managed Authentication

Pre-built authentication UI.

Agent auth
Falcon Engine

Every Databricks action runs on Falcon.

Agent Execution Engine
StackOne Defender
StackOne Defender Meta PG v1 Meta PG v2 DeBERTa 88.7% 67.5% 63.1% 56.9% Detection accuracy

88.7% prompt injection detection.

Prompt injection defense

"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."

Barbry McGann, SVP at Workday Ventures

G2 - High Performer G2 - Easiest To Do Business With G2 - Users Love Us G2 - Users Most Likely To Recommend G2 - Easiest Admin

Product Teams Love Building Agent Integrations With StackOne

G2

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Databricks Agent Integration Resources

Agentic Context Engineering: Why AI Agents Kill Their Own Context Windows

AI agents exceed their context windows without knowing it. Six failure patterns and seven survival architectures for agentic context engineering.

15 min

MCP Code Mode: Keeping Tool Responses Out of Agent Context

Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.

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Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.

10 min

Put your AI agents to work

All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.