About Databricks
Databricks is an MCP server for querying Databricks Lakehouse data through natural-language clients. It supports SQL execution, long-running query tracking, and Unity Catalog exploration through the workspace REST API.
Key features
- 01Run SQL on SQL warehouses
- 02Track and cancel SQL statements
- 03Browse Unity Catalog metadata
- 04Read and write operations
Use cases
- 01Run a SQL query on a warehouse
- 02Check the status of a long-running query
- 03Explore catalogs, schemas, and tables
MCP support
Exposes 11 tools to MCP clients over HTTP for connecting to Databricks workspaces. Authentication uses a workspace URL and Personal Access Token.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.mcp.ai/p_databricksclaude mcp add --transport http dir-databricks https://api.mcp.ai/p_databricks{"mcpServers":{"dir-databricks":{"type":"http","url":"https://api.mcp.ai/p_databricks"}}}Open in Cursor{"servers":{"dir-databricks":{"type":"http","url":"https://api.mcp.ai/p_databricks"}}}Open in VS Code{"mcpServers":{"dir-databricks":{"type":"http","url":"https://api.mcp.ai/p_databricks"}}}{"mcpServers":{"dir-databricks":{"serverUrl":"https://api.mcp.ai/p_databricks"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
17| Parameter | Type | Required | Description |
|---|---|---|---|
| account | string | No |
Details
The maintainer has not added details yet. Check the README in the repository.
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