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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.
Características Principales
- Secure OAuth authentication handled automatically through Databricks Apps
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- Local proxy for development and secure authentication for production
- Instant deployment of MCP server to Databricks Apps
- Define custom tools as Python functions leveraging the Databricks SDK
- Host prompts as simple markdown files that are dynamically loaded
Casos de Uso
- Allow AI assistants to query and interact with Databricks resources and data securely
- Create custom AI-driven workflows and interfaces for Databricks operations (e.g., job creation, cluster management)
- Extend the capabilities of AI assistants by connecting them to an authenticated Databricks environment
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