This MCP server provides a comprehensive interface for accessing various Databricks services using the Model Context Protocol, built on the Databricks Python SDK.
From the registry: 263 tools for Databricks: Unity Catalog, SQL, Compute, Jobs, Serving, and more.
$ pip install databricks-sdk-mcphttps://pypi.org/project/databricks-sdk-mcp/Please install the `databricks-sdk-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install databricks-sdk-mcp** — Install the package from PyPI (requires Python 3.10+). Run: `pip install databricks-sdk-mcp` (https://pypi.org/project/databricks-sdk-mcp/)
Canonical MCP server config (stdio transport):
- command: `databricks-mcp`
- args: []
- required environment variables:
- `DATABRICKS_HOST`: Databricks workspace URL (example: `https://your-workspace.databricks.com`)
- optional environment variables:
- `DATABRICKS_TOKEN`: Personal Access Token (simplest auth) (example: `dapi<token>`)
- `DATABRICKS_CLIENT_ID`: OAuth M2M client ID
- `DATABRICKS_CLIENT_SECRET`: OAuth M2M client secret
- `DATABRICKS_MCP_TOOLS_INCLUDE`: Comma-separated list of tool modules to load (example: `unity_catalog,sql,compute,jobs`)
- `DATABRICKS_MCP_TOOLS_EXCLUDE`: Comma-separated list of tool modules to exclude (example: `iam,sharing`)
Note: 263 tools across 28 domains. SDK delegates to PAT, OAuth, Azure AD, or service principal.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.DATABRICKS_HOSTrequiredThe URL of your Databricks workspace.DATABRICKS_TOKENrequiredYour Databricks personal access token.Trending hip-hop artist momentum scores across four cultural dimensions.
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