Databricks MCP Server

what is Databricks MCP Server?

Databricks MCP Server is a Model Completion Protocol (MCP) server that enables LLM-powered tools to interact with Databricks clusters, jobs, notebooks, and more through the MCP protocol.

how to use Databricks MCP Server?

To use the Databricks MCP Server, install the required dependencies, set up environment variables for your Databricks instance, and run the server using provided scripts.

key features of Databricks MCP Server?

• Implements MCP protocol for LLM interaction with Databricks
• Integrates with Databricks REST API
• Exposes Databricks functionality as MCP tools
• Supports asynchronous operations for efficiency

use cases of Databricks MCP Server?

1. Managing Databricks clusters programmatically
2. Running jobs and managing notebooks through LLMs
3. Automating data workflows in Databricks environments

FAQ from Databricks MCP Server?

• What is the MCP protocol?

The MCP protocol allows for communication between LLMs and Databricks services.

• What are the prerequisites for installation?

You need Python 3.10 or higher and the uv package manager.

• How can I contribute to the project?

Contributions are welcome! Follow the coding standards, add tests, and update documentation as necessary.