MCP Server — call518/MCP-Ambari-API

Automate Apache Ambari operations with AI/LLM: Natural language commands for Hadoop cluster management, service control, configuration monitoring, and real-time

What you get

To set up a Ambari Demo cluster, follow the guide at: Install Ambari 3.0 with Docker

• ✅ Interactive Ambari Operations Hub – Provides an MCP-based foundation for querying and managing services through natural language instead of console or UI interfaces
• ✅ Real-time Cluster Visibility – Comprehensive view of key metrics including service status, host details, alert history, and ongoing requests in a single interface
• ✅ Metrics Intelligence Pipeline – Dynamically discovers and filters AMS appIds and metric names, connecting directly to time-series analysis workflows
• ✅ Automated Operations Workflow – Consolidates repetitive start/stop operations, configuration checks, user queries, and request tracking into consistent scenarios
• ✅ Built-in Operational Reports – Instantly delivers dfsadmin-style HDFS reports, service summaries, and capacity metrics through LLM or CLI interfaces
• ✅ Safety Guards and Guardrails – Requires user confirmation before large-scale operations and provides clear guidance for risky commands through prompt templates

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Maintainer setup documentation.