Search Apache Spark documentation using keyword queries. Filter results by section to find relevant guides quickly.
MIT
650,521 tools. Updated 2026-10-14 00:42
"Apache Spark" matching MCP tools:
- Move a Flame bookmark to Spark to mark it as worth reading. Sets a 30-day Spark lifespan for focused triage.MIT
- Retrieve Spark Ads context from TikTok ad fields, with a conservative fallback when Spark-specific data is unavailable.Apache 2.0
- Fetch Spark Ads context from TikTok ad fields, using a conservative fallback when Spark-specific fields are unavailable.Apache 2.0
- 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
Matching MCP Servers
- AlicenseAqualityCmaintenanceMCP server that diagnoses Apache Spark job failures and optimizes performance using stack-trace analysis and LLM providers, supporting EMR and local sources.21MIT
- AlicenseAqualityAmaintenanceProvides full-text search and retrieval tools for Apache Spark documentation using SQLite FTS5 with BM25 ranking. It enables AI assistants to efficiently search, filter by section, and read specific Spark documentation pages.2MIT
Matching MCP Connectors
Search and fetch AI agents, skills, prompts and MCP connectors from the Spark marketplace.
Read-only catalogue of the Spark apps: what each one does, its stack, and where it runs.
- 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
- Terminate a running Spark application and remove it from the engine's history using engine and application IDs.Apache 2.0
- Request a TikTok Spark Code or Instagram Partner Code for one finalized video. Use this to get an ad code after the video is live, with atomic debit and task creation.MIT
- 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
- Pause a running Spark engine in watsonx.data. Optionally force pause even if applications are running.Apache 2.0
- Analyze Minecraft server performance by grouping self-time per plugin or mod source on a specified thread, excluding native idle frames to pinpoint which plugin or mod is responsible for CPU usage.MIT
- Creates a data ingestion job to load data from cloud storage into watsonx.data tables, supporting multiple file formats and write modes.Apache 2.0