Retrieve detailed information about a Databricks cluster by providing its cluster ID, enabling efficient management and monitoring through the Databricks MCP Server.
Retrieve detailed information about a Databricks cluster using its cluster_id, enabling efficient management and monitoring within the Databricks MCP Server environment.
Retrieve detailed information about all services, including their types and providers, to monitor and manage robotic movement control within the ROS MCP Server.
Retrieve Windows service information, including details or status of specific services, using secure command-line interaction on the Windows Command Line MCP Server.
A FastAPI-based server that provides tools for local file management and Databricks operations, enabling users to create/edit files locally and interact with Databricks clusters, jobs, and DLT pipelines.
Enables LLM-powered tools to interact with Databricks clusters, jobs, notebooks, SQL warehouses, and Unity Catalog through the Model Completion Protocol. Provides comprehensive access to Databricks REST API functionality including cluster management, job execution, workspace operations, and data catalog operations.