Tyler
Enables AI assistants like Claude to securely interact with Databricks workspaces by hosting Model Context Protocol (MCP) prompts and tools.
About
This template allows users to quickly establish a Model Context Protocol (MCP) server on Databricks Apps, effectively creating a secure bridge between AI assistants like Claude and their Databricks workspace. Users can easily define custom prompts using simple markdown files and implement powerful tools with Python functions that interact directly with the Databricks SDK. The server handles secure OAuth authentication and offers instant deployment, providing a tailored interface for Claude to interact with Databricks functionalities.
Key Features
- Define prompts using simple markdown files or dynamic Python functions.
- Implement powerful tools leveraging the Databricks SDK within Python functions.
- Instant deployment to Databricks Apps and integration with Claude CLI.
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- Secure authentication via Databricks OAuth through the MCP proxy.
- Host custom Model Context Protocol (MCP) prompts and tools on Databricks Apps.
Use Cases
- Provide Claude with custom, context-specific responses from Databricks through defined prompts.
- Automate Databricks operations (e.g., creating jobs, listing clusters) directly from Claude.
- Enable AI assistants like Claude to query Databricks workspace metadata and system status.