Enables AI assistants like Claude to interact with Databricks workspaces through a secure MCP server running on Databricks Apps. Supports custom prompts and tools using the Databricks SDK.
Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for workspace management, and SQL query execution via a deployable MCP server on Databricks Apps.
Enables AI assistants to interact with Databricks workspaces by hosting secure MCP prompts and tools on Databricks Apps. It allows users to execute Python-based tools using the Databricks SDK and manage prompts through simple markdown files.
Enables deployment and hosting of custom MCP servers on Databricks Apps platform. Provides a template and deployment methods for creating scalable MCP servers with Databricks authentication.
A governed MCP server exposing Databricks operations as tools for jobs orchestration, SQL execution, notebook creation, Unity Catalog governance, lineage, clusters, and DLT pipelines, with safety features like dry-run and audit logging.
Deploys an MCP server on Azure Container Apps that exposes Azure ML managed online endpoints as tools, enabling AI agents like Azure AI Foundry to invoke machine learning models via natural language.