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kubesense-metrics

Discover Kubernetes metrics, inspect labels, and run PromQL queries via MCP tools.

Updated Apr 28, 2026
Search Tags:#monitoring#metrics#kubernetes#prometheus#promql#label-inspection
One-click install
npx skills add https://github.com/kubesense-ai/kubesense-mcp-skills --skill kubesense-metrics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kubesense-metrics
Source: https://github.com/kubesense-ai/kubesense-mcp-skills/tree/main/kubesense-mcp/kubesense-metrics
Command: npx skills add https://github.com/kubesense-ai/kubesense-mcp-skills --skill kubesense-metrics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Query and analyze Kubernetes metrics using MCP tools to make metric discovery, label inspection, and PromQL querying reliable and repeatable.

Core Features & Use Cases

  • Discover available metrics with get-available-metrics to identify candidates.
  • Retrieve metric labels using get-metric-labels to construct accurate PromQL filters.
  • Run PromQL queries with analyze-metrics to monitor namespace, pod, and service-level metrics across time windows.

Quick Start

Discover metrics with get-available-metrics, fetch labels for a selected metric with get-metric-labels, then execute analyze-metrics for a chosen time window.

Frequently Asked Questions about kubesense-metrics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query Kubernetes metrics using PromQL across namespaces and services?▼

To query Kubernetes metrics, you must discover available metrics with get-available-metrics, retrieve labels using get-metric-labels, then execute PromQL queries via analyze-metrics to monitor namespace, pod, and service-level metrics across time windows.

What is the best way to discover available Kubernetes metrics before writing a PromQL query?▼

The best way to discover Kubernetes metrics is using get-available-metrics to identify candidates, followed by get-metric-labels to construct accurate PromQL filters, and finally executing analyze-metrics for the chosen time window.

Can I inspect metric labels to construct accurate PromQL filters for Kubernetes monitoring?▼

Yes, you can inspect metric labels using get-metric-labels to construct accurate PromQL filters. This ensures your Kubernetes monitoring queries via analyze-metrics target the correct namespaces, pods, or services.

Do I need to know available metric names before analyzing Kubernetes metrics with MCP tools?▼

Yes, you need to know available metric names before analyzing Kubernetes metrics. The workflow requires discovering metrics with get-available-metrics and fetching labels with get-metric-labels before executing PromQL queries via analyze-metrics.

Why should I use label inspection before running Prometheus queries on Kubernetes deployments?▼

Label inspection with get-metric-labels is required to construct accurate PromQL filters, ensuring your analyze-metrics queries reliably target specific namespaces, pods, and services within Kubernetes deployments without errors.

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