Prometheus Service#

The Prometheus service provides comprehensive metrics collection, querying, and monitoring capabilities with 20 tools for managing Prometheus resources.

Overview#

The Prometheus service in Cloud Native MCP Server enables AI assistants to query and manage Prometheus metrics efficiently. It provides tools for metric querying, alert management, and configuration management.

Key Capabilities#

### 📈 Metrics Querying Powerful querying capabilities for Prometheus metrics using PromQL.

### ⚠️ Alert Management Manage Prometheus alerts and alerting rules effectively.

### 🛠️ Configuration Handle Prometheus configuration and runtime information.

### 📊 Monitoring Access detailed monitoring data and statistics from Prometheus.

Available Tools (20)#

Query Execution#

prometheus-query: Execute instant query
prometheus-query-range: Execute range query
prometheus-query-exemplars: Query exemplar data

Metadata Queries#

prometheus-label-names: Get label names
prometheus-label-values: Get label values
prometheus-series: Get time series
prometheus-metadata: Get metadata

Target Management#

prometheus-get-targets: Get target list
prometheus-get-target-metadata: Get target metadata

Rules and Alerts Management#

prometheus-get-rules: Get rules list
prometheus-get-alerts: Get alerts list
prometheus-get-alert-managers: Get Alertmanager instances

Configuration Management#

prometheus-get-config: Get configuration information
prometheus-get-flags: Get startup flags

Status Queries#

prometheus-get-status: Get status information
prometheus-get-build-info: Get build information
prometheus-get-runtime-info: Get runtime information

TSDB Operations#

prometheus-get-tsdb-status: Get TSDB status
prometheus-get-tsdb-heatmap: Get TSDB heatmap

Quick Examples#

Query metrics for the last 5 minutes#

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{
  "method": "tools/call",
  "params": {
    "name": "prometheus-query-range",
    "arguments": {
      "query": "up",
      "start": "5 minutes ago",
      "end": "now",
      "step": "30s"
    }
  }
}

Get all targets#

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{
  "method": "tools/call",
  "params": {
    "name": "prometheus-get-targets",
    "arguments": {}
  }
}

Query specific metric#

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{
  "method": "tools/call",
  "params": {
    "name": "prometheus-query",
    "arguments": {
      "query": "rate(http_requests_total[5m])"
    }
  }
}

Best Practices#

Use appropriate query ranges to avoid performance issues
Regularly review and optimize PromQL queries
Monitor target health and availability
Configure appropriate recording rules for pre-aggregated metrics
Set up proper alerting rules with appropriate thresholds

Next Steps#

Grafana Service for visualization
Monitoring Guides for detailed setup
Performance Optimization for query optimization