Databricks

Provides a bridge between AI and Databricks workspaces, enabling interaction with data catalogs, schemas, tables, and SQL warehouses for direct querying and analysis of Databricks data.

Databricks MCP Server provides a bridge between AI assistants and Databricks workspaces, enabling interaction with data catalogs, schemas, tables, and SQL warehouses. Built with Go and the Model Context Protocol, it offers tools for listing database objects, executing SQL queries, and retrieving detailed table information through a standardized interface. The server authenticates with Databricks using unified authentication, supports multiple platforms including Linux, Windows, and macOS, and can be easily installed in VS Code through an extension, making it valuable for data analysts and engineers who need to query and analyze Databricks data directly from their AI assistant conversations.