A server that implements the Model Completion Protocol (MCP) to allow LLMs to interact with Databricks resources including clusters, jobs, notebooks, and SQL execution through natural language.
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.
A Model Context Protocol server that enables LLMs to interact with Databricks workspaces through natural language, allowing SQL query execution and job management operations.
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.
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.
A read-only MCP server that enables users to query Databricks SQL, browse metadata, and monitor Delta Lake tables. It also supports tracking Databricks Jobs, DLT Pipelines, and cluster metrics through natural language interfaces.