Databricks MCP Server

Example Use Cases

• 1

  Manage and query Databricks data catalogs and tables.

• 2

  Control and monitor Databricks clusters and jobs.

• 3

  Automate notebook and file system operations within Databricks workspaces.

Description

This MCP server provides over 35 tools across catalog management, query execution, cluster and job management, notebook operations, and DBFS file system interaction. It supports async operations, thread-safe concurrent execution, and is optimized for Docker deployment. The server facilitates natural language SQL generation and workspace automation, enhancing AI-driven data analysis and management within Databricks environments.