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Niraj-Hitpump

Databricks MCP Server

by Niraj-Hitpump
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Python
Remote

Databricks MCP Server

A Python MCP server to interact with Databricks — run SQL queries, manage clusters, trigger jobs, run notebooks, explore Unity Catalog metadata, manage secrets, and interact with DBFS.

Setup

1. Install dependencies

pip install -r requirements.txt

2. Configure credentials

Edit the .env file:

DATABRICKS_HOST=https://<your-workspace>.azuredatabricks.net
DATABRICKS_TOKEN=<your-access-token>
DATABRICKS_SQL_HTTP_PATH=/sql/1.0/warehouses/<your-warehouse-id>
DATABRICKS_WAREHOUSE_ID=<your-warehouse-id>

3. Run the server

python -m databricks_mcp.server

Available Tools (40+)

SQL

Tool

Description

sql_query

Run a SQL query (auto-wakes warehouse)

sql_explain

Show execution plan of a SQL query

Clusters

Tool

Description

clusters_list

List all clusters and their states

cluster_status

Get current state of a specific cluster

cluster_start

Start a cluster

cluster_stop

Stop a cluster

cluster_restart

Restart a running cluster

cluster_resize

Scale cluster workers up/down

cluster_wait_until_ready

Poll until cluster is RUNNING

cluster_events

Get recent events/errors for a cluster

Warehouses

Tool

Description

warehouses_list

List all SQL Warehouses

warehouse_status

Get detailed status of a warehouse

warehouse_start

Start a SQL Warehouse

warehouse_stop

Stop a SQL Warehouse

warehouse_resize

Change warehouse size

Jobs

Tool

Description

jobs_list

List all Databricks jobs

job_create

Create a new job with a notebook task

job_update

Update a job's name, notebook, or cluster

job_delete

Delete a job

job_trigger

Trigger a job run

job_run_status

Get status of a job run

job_cancel

Cancel a running job run

job_run_history

List recent runs of a job

Notebooks

Tool

Description

notebooks_list

List notebooks in a workspace path

workspace_list

List all objects in a workspace path

workspace_mkdir

Create a folder in workspace

notebook_run

Run a notebook (fire and forget)

notebook_run_and_wait

Run a notebook and wait for output

notebook_export

Export a notebook (HTML/SOURCE/JUPYTER/DBC)

notebook_import

Import/upload a notebook to workspace

notebook_delete

Delete a notebook or folder

Metadata (Unity Catalog)

Tool

Description

catalogs_list

List all catalogs

schemas_list

List schemas in a catalog

tables_list

List tables in a catalog.schema

table_schema

Get column schema of a table

table_preview

Preview top N rows of a table

table_create

Create a Delta table from DDL

table_drop

Drop a table

table_optimize

Run OPTIMIZE (+ optional ZORDER)

table_vacuum

Run VACUUM to clean up old files

Secrets

Tool

Description

secrets_list_scopes

List all secret scopes

secrets_list

List secret keys in a scope (no values)

DBFS

Tool

Description

dbfs_list

List files in a DBFS path

dbfs_delete

Delete a file or folder from DBFS

dbfs_upload

Upload a file to DBFS (base64 content)

dbfs_mkdir

Create a directory in DBFS

Integrate with Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "databricks": {
      "command": "python",
      "args": ["-m", "databricks_mcp.server"],
      "cwd": "/path/to/MCP"
    }
  }
}

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