Databricks Unity Catalog Server
БесплатноНе проверенAccess your Databricks workspace through Claude and other LLMs. Query Unity Catalog tables, inspect jobs, and retrieve detailed metadata.
Описание
Access your Databricks workspace through Claude and other LLMs. Query Unity Catalog tables, inspect jobs, and retrieve detailed metadata.
README
License: MIT Python 3.11+ Docker
Access your Databricks workspace through Claude and other LLMs. Query Unity Catalog tables, inspect jobs, and retrieve detailed metadata—all through the Model Context Protocol.
Built on the Databricks SDK to provide read-only access to your workspace through the Model Context Protocol. Powered by FastMCP with async/aiohttp for efficient parallel data retrieval.
Read more about our vision and use cases here.
Table of Contents
Features
Capabilities
What you can do:
- Ask Claude to find tables in your Unity Catalog
- Inspect job configurations and recent runs
- Generate queries based on your schema
Limitations
What you can't do:
- Modify tables or jobs (read-only by design)
- Execute queries directly (retrieves metadata only)
Available Tools
Unity Catalog
| Tool | Description | Parameters |
|---|---|---|
get-all-catalogs-schemas-tables |
List all tables across catalogs and schemas | None |
get-table-details |
Retrieve table descriptions, columns, and metadata | full_table_names (list of catalog.schema.table) |
Jobs
| Tool | Description | Parameters |
|---|---|---|
get-jobs |
List all workspace jobs with IDs and names | None |
get-job-details |
Get job settings, configurations, and tasks | job_ids (list of job IDs) |
get-job-runs |
Fetch recent run history with duration, parameters, and results | job_ids (list), n_recent (1-5, default: 1) |
Quick Start
Prerequisites:
- Docker Desktop installed and running
- Databricks workspace access (host URL and access token)
Installation
Choose your editor and follow the configuration steps:
Cursor
Step 1: Add the following configuration to .cursor/mcp.json:
{
"mcpServers": {
"databricks": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"DATABRICKS_HOST",
"-e",
"DATABRICKS_TOKEN",
"ghcr.io/revodatanl/databricks-mcp-server:latest"
],
"env": {
"DATABRICKS_HOST": "${env:DATABRICKS_HOST}",
"DATABRICKS_TOKEN": "${env:DATABRICKS_TOKEN}"
}
}
}
}
Note: You can either use environment variable references (
${env:VARIABLE}) or hardcode the values as strings directly in the configuration.
Step 2: Create a .env file in your project root with your credentials:
DATABRICKS_HOST=your-workspace-url
DATABRICKS_TOKEN=your-access-token
Step 3: Restart Cursor to load the MCP server.
Step 4: Use the cursor rules to enhance your Databricks development workflow.
Continue.dev
Step 1: Add the following configuration to .continue/mcpServers/databricks-mcp.yaml:
name: databricks_mcp_server
version: 0.1.3
schema: v1
mcpServers:
- name: databricks_mcp_server
command: docker
args:
- run
- -i
- --rm
- -e
- DATABRICKS_HOST=${{ inputs.DATABRICKS_HOST }}
- -e
- DATABRICKS_TOKEN=${{ inputs.DATABRICKS_TOKEN }}
- ghcr.io/revodatanl/databricks-mcp-server:latest
Step 2: Set your credentials either:
On the Continue.dev website (recommended for security)
Or in a
.envfile in your project root:DATABRICKS_HOST=your-workspace-url DATABRICKS_TOKEN=your-access-token
Step 3: Restart your editor to load the MCP server.
Step 4: Use the Continue.dev rules to enhance your Databricks development workflow.
Local Development
For contributors and developers who want to run the server locally:
Setup
Install uv - Fast Python package installer Follow the installation guide
Clone the repository
git clone https://github.com/revodatanl/databricks-mcp-server.git cd databricks-mcp-serverInstall dependencies
uv syncSet environment variables
export DATABRICKS_HOST=your-workspace-url export DATABRICKS_TOKEN=your-access-tokenRun the server
uv run databricks-mcp
License
MIT License - see LICENSE.md for details.
Установить Databricks Unity Catalog Server в Claude Desktop, Claude Code, Cursor
unyly install databricks-unity-catalog-mcp-serverСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add databricks-unity-catalog-mcp-server -- uvx databricks-mcpFAQ
Databricks Unity Catalog Server MCP бесплатный?
Да, Databricks Unity Catalog Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Databricks Unity Catalog Server?
Нет, Databricks Unity Catalog Server работает без API-ключей и переменных окружения.
Databricks Unity Catalog Server — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Databricks Unity Catalog Server в Claude Desktop, Claude Code или Cursor?
Открой Databricks Unity Catalog Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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