Skip to main content
Glama

Databricks MCP Server

Databricks MCP Server

This is a server that provides tools to interact with Databricks.

Features

  • Cluster management

  • Job management

  • Notebook management

  • DBFS management

  • SQL management

Related MCP server: MCP-Python

Installation

Required Python version: 3.11

# Create and activate virtual environment uv venv # On Windows .\.venv\Scripts\activate # On Linux/Mac source .venv/bin/activate # Install dependencies uv pip install pip pip install -r requirements.txt

Configuration

The server can be configured using environment variables or a .env file.

Environment variables

  • DATABRICKS_HOST: The Databricks host URL (e.g. https://adb-123456789012345.12.azuredatabricks.net)

  • DATABRICKS_TOKEN: The Databricks API token

  • TRANSPORT: The transport to use (e.g. sse). Options: [stdio, sse, streamable-http]. Default: sse

  • SERVER_HOST: The host to bind the server to (e.g. 0.0.0.0)

  • SERVER_PORT: The port to bind the server to (e.g. 8000)

  • DEBUG: Whether to run the server in debug mode (e.g. True)

  • LOG_LEVEL: The log level (e.g. INFO)

.env file

Create a .env file in the root directory of the project with the following variables:

DATABRICKS_HOST=https://adb-123456789012345.12.azuredatabricks.net DATABRICKS_TOKEN=your_databricks_api_token TRANSPORT=sse SERVER_HOST=0.0.0.0 SERVER_PORT=8000 DEBUG=True LOG_LEVEL=INFO

Obtaining Databricks Credentials

  1. Host: Your Databricks instance URL (e.g., your-instance.cloud.databricks.com)

  2. Token: Create a personal access token in Databricks:

    • Go to User Settings (click your username in the top right)

    • Select "Developer" tab

    • Click "Manage" under "Access tokens"

    • Generate a new token, and save it (it will not be shown again)

Running the server in standalone mode

python -m main

Config Claude-Desktop/Cursor/Windsurf

Add the following to your Claude-Desktop/Cursor config file:

{ "mcpServers": { "databricks": { "command": "uv", "args": [ "--directory", "/absolute/path/to/this/project", "run", "python", "-m", "main" ], "env": { "DATABRICKS_HOST": "https://your-host.cloud.databricks.com", "DATABRICKS_TOKEN": "your-databricks-api-token", "TRANSPORT": "stdio" } } } }

If you are using Claude-Desktop, restart it for the changes to take effect.

-
security - not tested
A
license - permissive license
-
quality - not tested

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AndresGarciaSobrado91/databricks-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server