Databricks

The Databricks MCP server acts as a bridge, allowing Large Language Models (LLMs) and AI clients to directly manage and interact with Databricks environments. It implements the Model Completion Protocol to expose a wide array of Databricks REST API functionalities as accessible tools, including cluster, job, and workspace file management, as well as Unity Catalog and SQL execution. Built with asyncio for efficient operation, it provides a robust way to integrate AI-driven automation into your Databricks workflows, empowering intelligent agents to create, monitor, and execute data and machine learning tasks.

Key Features

Use Cases