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
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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).
Basic information
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