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Documentation Index

Fetch the complete documentation index at: https://docs.crewai.com/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

Connect your CrewAI agents directly to your Databricks workspace through Databricks managed MCP servers. The Databricks integration lets your agents ask natural-language questions with Genie, run governed SQL, call Unity Catalog Functions, and retrieve documents with Vector Search — all without writing or hosting any connector code, and with Unity Catalog permissions enforced on every call. Under the hood, the Databricks integration is a managed wrapper around CrewAI’s Custom MCP Server support. Databricks exposes each capability as its own Model Context Protocol endpoint, and CrewAI connects to them securely on your behalf. Because each server is added separately, you can enable exactly the capabilities your crews need.

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Key Capabilities

Genie

Ask questions in plain language and get grounded answers from your data with Genie, which queries Genie Spaces and Unity Catalog and links back to the Databricks UI.

Databricks SQL

Run governed SQL against your Databricks warehouses to query, transform, and author data pipelines directly from your agents.

Unity Catalog Functions

Invoke Unity Catalog functions to run predefined SQL and custom business logic as governed, reusable tools.

Vector Search

Retrieve relevant documents for RAG and knowledge workflows from Mosaic AI Vector Search indexes using semantic similarity.
Every server runs behind the Unity AI Gateway and enforces Unity Catalog access controls, so your agents only ever see the data and tools they’re permitted to use.

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Prerequisites

Before using the Databricks integration, ensure you have:
  • A CrewAI AMP account with an active subscription
  • A Databricks workspace with the capabilities you want to expose (Genie Spaces, SQL warehouses, Unity Catalog functions, or Vector Search indexes)
  • Appropriate Unity Catalog privileges on the underlying objects
  • Your Databricks workspace hostname (e.g. your-workspace.cloud.databricks.com)

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Databricks Managed MCP Servers

Databricks publishes a separate managed MCP server for each capability. CrewAI exposes these as individual connections, each configured with your workspace host and the relevant Unity Catalog identifiers. The endpoints follow these patterns:
ServerWhat it doesMCP URL pattern
GenieNatural-language Q&A over a Genie Spacehttps://<workspace-hostname>/api/2.0/mcp/genie/{genie_space_id}
Databricks SQLExecute SQL against your warehouseshttps://<workspace-hostname>/api/2.0/mcp/sql
Unity Catalog FunctionsRun registered UC functionshttps://<workspace-hostname>/api/2.0/mcp/functions/{catalog}/{schema}
Vector SearchQuery a Vector Search indexhttps://<workspace-hostname>/api/2.0/mcp/vector-search/{catalog}/{schema}
You don’t construct these URLs by hand — CrewAI builds each endpoint from the workspace host and identifiers (Genie Space ID, or catalog/schema) you provide when configuring the connection. For the full specification and the latest endpoint details, see the Databricks managed MCP documentation.

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Connecting Databricks in CrewAI AMP

Configure a Databricks managed MCP server in CrewAI AMP
Each Databricks capability — Databricks Genie, Databricks SQL, Databricks Unity Catalog Functions, and Databricks Vector Search — appears as its own MCP server under the Databricks group on the Tools & Integrations page. Configure the ones you need:
1

Open Tools & Integrations

Navigate to Tools & Integrations in the left sidebar of CrewAI AMP and locate the Databricks group in the Connections list. You’ll see the Genie, SQL, Unity Catalog Functions, and Vector Search servers listed beneath it.
2

Configure a server

Click Configure next to the capability you want to enable and provide its connection details:
  • Workspace Host — your Databricks workspace hostname (e.g. my-workspace.cloud.databricks.com).
  • Genie — the Genie Space ID to query.
  • Unity Catalog Functions — the catalog and schema that contain your functions.
  • Vector Search — the catalog and schema that contain your index.
  • Databricks SQL — no additional identifiers; queries run against your workspace’s SQL warehouses.
3

Choose an authentication method

Select how CrewAI authenticates to Databricks. OAuth is recommended.
  • Use OAuth — Connect securely using OAuth 2.0. Each user authenticates individually, and Databricks issues tokens scoped to the capability (genie, sql, unity-catalog, or vector-search). CrewAI handles the authorization flow and refreshes tokens automatically.
  • Use personal access token — Authenticate with a Databricks personal access token. Use a least-privileged identity to limit exposure.
4

Authenticate

Complete authentication. Once connected, the server’s tools become available to your crews. Repeat for any other Databricks capabilities you want to enable.
Because each capability is a separate connection, you can mix and match — for example, enable Genie and Vector Search for a research crew while reserving SQL and Unity Catalog Functions for a data-engineering crew. Visibility settings let you control which team members can use each one.

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Using Databricks Tools in Your Crews

Once connected, the tools each MCP server exposes appear alongside built-in connections on the Tools & Integrations page. You can:
  • Assign tools to agents in your crews just like any other CrewAI tool.
  • Manage visibility to control which team members can use each connection.
  • Edit or remove any connection at any time from the Connections list.
Your agents can now ask Genie for grounded answers, run SQL against your warehouses, call Unity Catalog functions, and search Vector Search indexes — with results flowing back into their reasoning automatically.
Databricks enforces governance through Unity Catalog and the Unity AI Gateway: a user can only discover and invoke tools their workspace identity is permitted to use. If a tool call fails, confirm the connecting user (or token identity) has the required Unity Catalog privileges on the Genie Space, warehouse, function, or index. Some Genie and SQL queries run asynchronously and may take a moment to return results.

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Learn More

Databricks Managed MCP Servers

Official Databricks documentation for the managed Genie, SQL, Unity Catalog Functions, and Vector Search MCP servers.

Custom MCP Servers in CrewAI

Learn how CrewAI connects to any MCP server, the foundation the Databricks integration builds on.

Need Help?

Contact our support team for assistance with the Databricks integration or troubleshooting.