Automate Apache Ambari operations with AI/LLM: Natural language commands for Hadoop cluster management, service control, configuration monitoring
Automate Apache Ambari operations with AI/LLM: Natural language commands for Hadoop cluster management, service control, configuration monitoring, and real-time
To set up a Ambari Demo cluster, follow the guide at: Install Ambari 3.0 with Docker
Once MCP is connected, these are the calls the assistant has available:
Features — The Features tool exposed by this serverConfiguration — The Configuration tool exposed by this serverAdministration — The Administration tool exposed by this serverCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"mcp-ambari-api": {
"type": "streamable-http",
"url": "http://your-server:8000/mcp",
"headers": {
"Authorization": "Bearer your-secure-secret-key-here"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| AMBARI_HOST | Endpoint or connection string the server talks to. | Optional |
| AMBARI_PORT | Configuration value read at startup. | Optional |
| AMBARI_USER | Configuration value read at startup. | Optional |
| AMBARI_PASS | Configuration value read at startup. | Optional |
| AMBARI_CLUSTER_NAME | Configuration value read at startup. | Optional |
| MCP_LOG_LEVEL | Configuration value read at startup. | Optional |
| AMBARI_METRICS_HOST | Endpoint or connection string the server talks to. | Optional |
| REMOTE_SECRET_KEY | Credential the server authenticates with. | Yes |
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