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.
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Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"databricks-mcp-server": {
"command": "npx",
"args": [
"-y",
"databricks-mcp-server@latest"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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.
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.
The server provides five tools: `list_catalogs`, `list_schemas`, `list_tables`, `execute_sql`, and `list_warehouses`. Each returns JSON results.
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.
The server supports Linux (amd64), Windows (amd64), macOS (Intel/amd64), and macOS (Apple Silicon/arm64).
No. The server is distributed as a pre‑compiled binary for each supported platform. No additional runtime dependencies are necessary.
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).

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