Databricks MCP Server – FAQ | MCP Marketplace

.vp-portfolio__preloader-wrap{display:none}.vp-portfolio__items-wrap,.vp-portfolio__filter-wrap,.vp-portfolio__sort-wrap,.vp-portfolio__pagination-wrap{visibility:visible;opacity:1}.vp-portfolio__item .vp-portfolio__item-img noscript+img{display:none}.vp-portfolio__thumbnails-wrap{display:none}

From vibe coding to vibe deployment. UBOS MCP turns ideas into infra with one message.

Learn more

Frequently Asked Questions

What is the MCP Server? The MCP Server is a Model Completion Protocol server that acts as a bridge, allowing AI models to access and interact with Databricks services and external data sources.

How does the MCP Server integrate with Databricks? It provides access to Databricks clusters, jobs, and notebooks via the MCP protocol, enabling seamless interaction with LLM-powered tools.

What are the prerequisites for installing the MCP Server? You need Python 3.10 or higher and the uv package manager to set up the MCP Server.

Can I run the MCP Server on any operating system? Yes, the MCP Server can be set up and run on Windows, Linux, and MacOS.

What are the key features of the MCP Server? Key features include MCP Protocol Support, Databricks API Integration, Tool Registration, and Async Support.