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Enables AI assistants like Claude to interact with Databricks workspaces by hosting Model Context Protocol (MCP) prompts and tools on Databricks Apps.

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This template provides a framework for building and deploying a Model Context Protocol (MCP) server directly on Databricks Apps. It acts as a secure and authenticated bridge, allowing AI assistants such as Claude to execute predefined prompts and custom Python tools within your Databricks workspace. Developers can easily define prompts using markdown files and create powerful tools leveraging the Databricks SDK, streamlining interactions between large language models and Databricks functionalities.

Key Features

01Secure OAuth authentication handled automatically through Databricks Apps
020 GitHub stars
03Local proxy for development and secure authentication for production
04Instant deployment of MCP server to Databricks Apps
05Define custom tools as Python functions leveraging the Databricks SDK
06Host prompts as simple markdown files that are dynamically loaded

Use Cases

01Allow AI assistants to query and interact with Databricks resources and data securely
02Create custom AI-driven workflows and interfaces for Databricks operations (e.g., job creation, cluster management)
03Extend the capabilities of AI assistants by connecting them to an authenticated Databricks environment