databricks

The Databricks MCP server, developed by samhavens, provides a robust framework for executing Model Context Protocol operations within your applications. It allows developers to seamlessly integrate and manage data workflows, leveraging Databricks' capabilities for scalable data processing and analytics. This server is particularly beneficial for those looking to build scalable data pipelines and machine learning models.

Once you are connected to the Databricks MCP server, you can utilize its API to send and receive Model Context Protocol messages. This server is designed to handle queries related to data operations and model management efficiently. You can issue commands to retrieve model metadata, initiate training processes, or query data sources, making it a powerful tool for managing data workflows.

To install the Databricks MCP server, ensure you have Node.js installed on your system.

Option A: Quick start with npx

You can quickly start using the server with the following command:

npx -y samhavens/databricks-mcp-server

Option B: Global install alternative

If you prefer to install it globally, you can use the following command:

npm install -g samhavens/databricks-mcp-server

When configuring the Databricks MCP server, you may need to set environment variables for authentication and connection settings, such as DATABRICKS_HOST and DATABRICKS_TOKEN. Ensure that your Databricks workspace is properly configured to allow API access, as this can prevent common connectivity issues. Additionally, be aware of the server's resource limitations when running extensive data queries or model operations.