Databricks MCP Server

Example Use Cases

• 1

  Manage Databricks clusters programmatically via MCP protocol.

• 2

  Run and monitor Databricks jobs and notebooks asynchronously.

• 3

  Execute SQL queries and access Databricks workspace files through LLM integration.

Description

The Databricks MCP Server implements the Model Completion Protocol to provide seamless integration between large language models and Databricks functionality. It exposes Databricks REST API features as MCP tools, allowing asynchronous and efficient operations such as managing clusters, running jobs, and executing SQL statements. This server facilitates automation and enhanced interaction with Databricks resources through LLM-powered agents.