Package Exports
- databricks-mcp-server
- databricks-mcp-server/bin/index.js
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Readme
Databricks MCP Server
A Model Context Protocol (MCP) server for interacting with Databricks.
Features
The Databricks MCP Server provides a Model Context Protocol (MCP) interface to interact with Databricks workspaces. It offers the following functionalities:
List Catalogs
Lists all catalogs available in the Databricks workspace.
Tool name: list_catalogs
Parameters: None
Returns: JSON array of catalog objects
List Schemas
Lists all schemas in a specified Databricks catalog.
Tool name: list_schemas
Parameters:
catalog(string, required): Name of the catalog to list schemas from
Returns: JSON array of schema objects
List Tables
Lists all tables in a specified Databricks schema with optional filtering.
Tool name: list_tables
Parameters:
catalog(string, required): Name of the catalog containing the schemaschema(string, required): Name of the schema to list tables fromfilter_pattern(string, optional, default: ".*"): Regular expression pattern to filter table names
Returns: JSON array of table objects
Execute SQL
Executes SQL statements on a Databricks warehouse and returns the results.
Tool name: execute_sql
Parameters:
statement(string, required): SQL statement to executetimeout_seconds(number, optional, default: 60): Timeout in seconds for the statement executionrow_limit(number, optional, default: 100): Maximum number of rows to return in the result
Returns: JSON object containing columns and rows from the query result
Installation
You can download the latest release for your platform from the Releases page.
Supported Platforms
- Linux (amd64)
- Windows (amd64)
- macOS (Intel/amd64)
- macOS (Apple Silicon/arm64)
Usage
Authentication
The application uses Databricks unified authentication. For details on how to configure authentication, please refer to the Databricks Authentication documentation.
Running the Server
Start the MCP server:
./databricks-mcp-serverThe server will start and listen for MCP protocol commands on standard input/output.
Development
Prerequisites
- Go 1.24 or later
- Databricks account for testing