Enables AI assistants to interact with Databricks workspaces through natural language, supporting SQL queries, cluster management, jobs, Genie AI, Unity Catalog, and more.
Enables AI assistants to interact with Databricks workspaces programmatically, providing comprehensive tools for cluster management, notebook operations, job orchestration, Unity Catalog data governance, user management, permissions control, and FinOps cost analytics.
Enables AI agents to access enterprise data from Unity Catalog (vector search, functions, Genie spaces) and perform developer actions in Databricks like managing notebooks and running jobs.
Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
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 LLMs to manage Databricks clusters, jobs, and notebooks while providing schema references for gold and silver data layers. It allows agents to perform data discovery and execute SQL queries directly against Databricks environments.