Ambari API
Integrates with Apache Ambari to provide comprehensive management of Hadoop clusters, encompassing service operations, configuration, and monitoring.
About
This tool acts as a Model Context Protocol (MCP) server that seamlessly integrates with the Apache Ambari API. It empowers users to efficiently manage and monitor Hadoop clusters by offering a unified interface for critical operations. From starting and stopping services to deep diving into cluster configurations, tracking request progress, and monitoring overall health, it centralizes control over the Hadoop ecosystem. It simplifies complex big data infrastructure management, making it accessible for automated workflows and AI-driven interactions.
Key Features
- Monitor service and cluster status
- Retrieve detailed host and component information
- Track request progress for all operations
- Manage Hadoop services (start, stop, restart)
- 1 GitHub stars
- Unified configuration introspection and management
Use Cases
- Streamlining configuration review and updates for big data environments.
- Monitoring the health and status of Ambari-managed services and hosts.
- Automating Hadoop cluster management tasks via an MCP environment.
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