Databricks MCP Server
by JustTryAI
The Databricks MCP Server enables LLM-powered tools to interact with Databricks clusters, jobs, notebooks, and more via the Model Completion Protocol (MCP). It provides a bridge between LLMs and Databricks functionality.
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What is Databricks MCP Server?
The Databricks MCP Server is a server that implements the Model Completion Protocol (MCP) to provide access to Databricks functionality. It allows Large Language Models (LLMs) to interact with Databricks resources such as clusters, jobs, and notebooks.
How to use Databricks MCP Server?
To use the server, first install the necessary prerequisites (Python 3.10+ and uv). Then, clone the repository, set up the project with uv, configure environment variables for Databricks authentication, and start the server using the provided scripts. Once running, the server accepts MCP protocol connections and exposes Databricks functionality as tools that LLMs can utilize.
Key features of Databricks MCP Server
MCP Protocol Support
Databricks API Integration
Tool Registration
Async Support
Use cases of Databricks MCP Server
Automating Databricks tasks with LLMs
Integrating Databricks with LLM-powered applications
Creating LLM-driven workflows for data analysis
Enabling natural language access to Databricks resources
FAQ from Databricks MCP Server
What is the Model Completion Protocol (MCP)?
What is the Model Completion Protocol (MCP)?
MCP is a protocol that enables LLMs to interact with external tools and services.
What Databricks resources can I access through this server?
What Databricks resources can I access through this server?
You can access clusters, jobs, notebooks, and files in DBFS.
What are the prerequisites for running this server?
What are the prerequisites for running this server?
You need Python 3.10 or higher and the uv package manager.
How do I authenticate with Databricks?
How do I authenticate with Databricks?
You need to set the DATABRICKS_HOST and DATABRICKS_TOKEN environment variables.
How do I contribute to this project?
How do I contribute to this project?
You can submit a Pull Request, ensuring your code follows the project's coding standards, includes tests, and updates documentation as necessary.