Databricks MCP Server

@characat0

About Databricks MCP Server

No overview available yet

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "databricks-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "databricks-mcp-server@latest"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Databricks MCP Server?

A Model Context Protocol (MCP) server that enables AI assistants to interact with Databricks workspaces. It provides tools for listing catalogs, schemas, tables, executing SQL, and managing SQL warehouses. Designed for developers using MCP-compatible clients such as VS Code.

How to use Databricks MCP Server?

Download the binary for your platform from the Releases page and run ./databricks-mcp-server. Alternatively, install it as a VS Code extension via the provided command or clickable link. Authentication uses Databricks unified authentication; no additional configuration is needed beyond your existing Databricks credentials.

Key features of Databricks MCP Server

List all catalogs in a Databricks workspace
List schemas within a specified catalog
List tables with optional regular expression filtering
Execute SQL statements on a Databricks SQL warehouse
List available SQL warehouses in the workspace

Use cases of Databricks MCP Server

AI agents exploring the structure of a Databricks data lakehouse
Automating data discovery across multiple catalogs and schemas
Running ad‑hoc SQL queries from a chat interface
Inspecting available SQL warehouses for query execution

FAQ from Databricks MCP Server

What tools does the server expose?

The server provides five tools: list_catalogs, list_schemas, list_tables, execute_sql, and list_warehouses. Each returns JSON results.

How do I authenticate with Databricks?

The server uses Databricks unified authentication. Follow the Databricks Authentication documentation to set up credentials before starting the server.

On which operating systems can I run the server?

The server supports Linux (amd64), Windows (amd64), macOS (Intel/amd64), and macOS (Apple Silicon/arm64).

Are there any runtime dependencies required?

No. The server is distributed as a pre‑compiled binary for each supported platform. No additional runtime dependencies are necessary.

How is the server invoked by an MCP client?

The server listens for MCP protocol commands on standard input/output. It is started as a child process by the MCP client (e.g., via npx in VS Code).

Frequently asked questions

What tools does the server expose?

The server provides five tools: `list_catalogs`, `list_schemas`, `list_tables`, `execute_sql`, and `list_warehouses`. Each returns JSON results.

How do I authenticate with Databricks?

The server uses Databricks unified authentication. Follow the [Databricks Authentication documentation](https://docs.databricks.com/en/dev-tools/auth.html) to set up credentials before starting the server.

On which operating systems can I run the server?

The server supports Linux (amd64), Windows (amd64), macOS (Intel/amd64), and macOS (Apple Silicon/arm64).

Are there any runtime dependencies required?

No. The server is distributed as a pre‑compiled binary for each supported platform. No additional runtime dependencies are necessary.

How is the server invoked by an MCP client?

The server listens for MCP protocol commands on standard input/output. It is started as a child process by the MCP client (e.g., via `npx` in VS Code).

Comments

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