Retrieve detailed user information including profile, permissions, and authentication sources from Hadoop clusters via Apache Ambari API using the MCP-Ambari-API server.
Create dynamic, interactive charts using Apache ECharts by providing customizable configurations. Export visualizations as PNG, SVG, or raw option formats for seamless integration into web applications.
Submit a job to a Dataproc cluster by specifying project ID, region, cluster name, job type, main file, and optional arguments, JAR files, and properties. Supports Spark, PySpark, Hive, Pig, and Hadoop job types.
Extract and manage Hadoop cluster configurations via a unified tool, enabling single-type focus, bulk filtering, and customizable output options to streamline configuration introspection and administration.
Use this tool to remove a specific DAG (Directed Acyclic Graph) from Apache Airflow by specifying the DAG ID. Streamlines DAG cleanup and management within the MCP Server for Apache Airflow ecosystem.