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524,441 tools. Updated 2026-09-06 15:49

"Apache Flink" matching MCP tools:

Matching MCP Servers

  • A
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    Not graded
    quality
    C
    maintenance
    Enables interaction with Apache Flink clusters via the SQL Gateway, allowing query execution, session management, and job control through MCP tools.
    8
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI-controlled management of Apache Beam data pipelines across different runners (Flink, Spark, Dataflow, Direct) via the Model Context Protocol.
    4
    MIT

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  • 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
  • Discover every schema visible on the Apache Drill cluster to simplify data source inspection.
    Apache 2.0
  • 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
  • List storage plugin configurations with secrets redacted to review data source settings in Apache Drill.
    Apache 2.0
  • Retrieve comprehensive details for a specific Apache Airflow DAG, including schedule, pause status, owners, tags, and run configuration.
    Apache 2.0
  • Monitor Apache Drill cluster health by retrieving Drillbit membership and overall cluster status.
    Apache 2.0
  • Retrieve and manage a sorted, filtered, and paginated list of Flink SQL statements using REST API, enabling precise control over statement queries and data.
    MIT
  • Run a SQL query against Apache Drill and return the result rows.
    Apache 2.0
  • Submit Flink SQL statements to process data streams in Confluent Cloud. Define statements with unique names, catalog, and database details for efficient execution within specified environments and compute pools.
    MIT
  • Retrieve and analyze Flink statements and their results by querying the Flink REST API. Specify the statement name, organization, and environment to access real-time data streams or sampled results.
    MIT