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Apache Hadoop MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

71,244 tools. Last updated 2026-02-11 12:08
  • Submit data processing jobs to Google Cloud Dataproc clusters for Spark, PySpark, Hive, and Hadoop workloads using specified project, region, and cluster parameters.
    MIT
  • 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.
    MIT
  • 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.
    MIT
  • Retrieve detailed user information including profile, permissions, and authentication sources from Apache Ambari Hadoop clusters to manage access and monitor user activities.
    MIT
  • Retrieve detailed user information including profile, permissions, and authentication sources from Hadoop clusters via Apache Ambari API using the MCP-Ambari-API server.
    MIT

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