List Spark applications on a Spark engine, with optional filtering by application state and result limit.
Apache 2.0
457,802 tools. Updated 2026-08-14 17:39
"Apache Spark" matching MCP tools:
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- Load a Spark profiler file from a local path or URL to obtain a profile ID, enabling detailed analysis of server performance.MIT
- Lists all Apache Airflow DAGs with metadata including status, schedule, tags, and owners for workflow discovery and monitoring.Apache 2.0
- List installed Apache Airflow provider packages with their versions, descriptions, and included operators, hooks, and sensors. Responds to queries about provider availability and integration details.Apache 2.0
- Retrieve current watsonx.data instance information including status, version, region, and enabled features.Apache 2.0
- Terminate a running Spark application and remove it from the engine's history using engine and application IDs.Apache 2.0
- Create a new Coalesce project on Snowflake, Databricks, Starburst, or Spark. Specify name and target platform; optionally add git integration.MIT
- Retrieve the Python source code of an Apache Airflow DAG by providing its DAG ID. Returns the DAG file content and file token for inspection and debugging.Apache 2.0
- Retrieve detailed status of a Spark application, including state, timestamps, and configuration.Apache 2.0
- View available compute engines in IBM watsonx.data, filtered by type (Presto, Prestissimo, Spark) or all. Returns engine details and summary counts.Apache 2.0
- Scale a Spark engine by adjusting its node count in watsonx.data. Specify target nodes to handle varying workloads.Apache 2.0
- Retrieve comprehensive details for a specific Apache Airflow DAG, including schedule, pause status, owners, tags, and run configuration.Apache 2.0
- Assess cross-protocol liquidation risk for a wallet's lending positions. Get health factor, USD-at-risk, and recommendations across Aave V3, Compound v3, Spark Lend, and Morpho Blue.MIT
- Update Spark engine configuration in IBM watsonx.data by specifying engine ID and optional changes to description, display name, configuration, or tags.Apache 2.0
- Submit a Spark application to a specified engine for execution, with configurable arguments, properties, and environment variables.Apache 2.0