kubernetes-mcp-usage — kubernetes-mcp-usage install kubernetes-mcp-usage, kubernetes-mcp, community, kubernetes-mcp-usage install, ide skills, kubernetes mcp connection checklist, troubleshooting kubernetes-mcp-usage, kubernetes-mcp-usage for DevOps teams, kubernetes-mcp-usage and kubeconfig, kubernetes-mcp-usage streamable protocol, Claude Code

v1.0.0
GitHub

About this Skill

Ideal for Cloud Agents requiring seamless Kubernetes integration through MCP for resource discovery and cluster state inspection kubernetes-mcp-usage is a skill that facilitates Kubernetes operation through MCP, enabling connections, resource discovery, and cluster state inspection via stdio, SSE, or streamable protocols.

Features

Connects MCP client to server via stdio, SSE, or streamable protocols
Discovers resources and inspects cluster state
Checks logs, events, and metrics for troubleshooting
Troubleshoots failed tool calls and parameter mismatch
Supports binary command with local kubeconfig via stdio
Utilizes POST /mcp endpoint for streamable connections

# Core Topics

HSn0918 HSn0918
[0]
[0]
Updated: 3/8/2026

Agent Capability Analysis

The kubernetes-mcp-usage skill by HSn0918 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for kubernetes-mcp-usage install, kubernetes mcp connection checklist, troubleshooting kubernetes-mcp-usage.

Ideal Agent Persona

Ideal for Cloud Agents requiring seamless Kubernetes integration through MCP for resource discovery and cluster state inspection

Core Value

Empowers agents to connect MCP clients to Kubernetes servers via stdio, sse, or streamable protocols, enabling resource discovery, cluster state inspection, and log/event/metric checking through kubernetes-mcp-usage

Capabilities Granted for kubernetes-mcp-usage

Connecting MCP clients to Kubernetes servers
Discovering resources and inspecting cluster states
Troubleshooting failed tool calls and parameter mismatches

! Prerequisites & Limits

  • Requires reachable Kubernetes server
  • Confirmed kubeconfig for stdio connections
  • Accessible endpoint for streamable connections
Labs Demo

Browser Sandbox Environment

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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

kubernetes-mcp-usage

Install kubernetes-mcp-usage, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

Kubernetes MCP Usage Guide

When to Use

Use this skill when the user wants to operate Kubernetes through kubernetes-mcp:

  • connect MCP client to this server (stdio, sse, streamable);
  • discover resources, inspect cluster state, check logs/events/metrics;
  • troubleshoot failed tool calls and parameter mismatch.

Connection Checklist

  1. Confirm server is reachable:
    • stdio: binary command works with local kubeconfig.
    • streamable: endpoint is POST /mcp.
  2. Confirm Kubernetes auth is valid:
    • explicit --kubeconfig or in-cluster service account.
  3. Prefer smallest-scope query first:
    • namespace + kind filters before wide cluster scans.
  1. Health and inventory:
    • GET_CLUSTER_INFO
    • LIST_NAMESPACES
  2. Resource location:
    • SEARCH_RESOURCES (supports name=..., label=..., annotation=..., wildcard *)
    • LIST_K8S_RESOURCES
  3. Deep inspection:
    • GET_K8S_RESOURCE / DESCRIBE_K8S_RESOURCE
    • GET_EVENTS
  4. Runtime diagnosis:
    • GET_POD_LOGS
    • GET_POD_METRICS, GET_NODE_METRICS, GET_TOP_CONSUMERS

Practical Query Patterns

  • Find all pods in namespace:
    • SEARCH_RESOURCES {"kinds":"Pod","namespaces":"mcp-system","query":"name=*"}
  • Find by label wildcard:
    • SEARCH_RESOURCES {"query":"label=app:nginx-*","namespaces":"default"}
  • Find by annotation:
    • SEARCH_RESOURCES {"query":"annotation=team:platform","namespaces":"default"}
  • List known kind explicitly:
    • LIST_K8S_RESOURCES {"kind":"Pod","apiVersion":"v1","namespace":"default"}
  • List namespace resources by discovery:
    • LIST_K8S_RESOURCES {"namespace":"default"}

Error Handling Guidance

  • If listing fails with missing apiVersion:
    • provide both kind and apiVersion, or omit kind for discovery listing.
  • If search returns empty unexpectedly:
    • check kinds value (Pod/pods both accepted),
    • verify namespace scope,
    • test with query:"name=*" first.
  • If metrics tools fail:
    • confirm metrics-server is installed and accessible.

Safety

  • Avoid destructive actions (DELETE, large apply) unless user explicitly requests.
  • For changes, prefer VALIDATE_MANIFEST and DIFF_MANIFEST before APPLY_MANIFEST.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is kubernetes-mcp-usage?

Ideal for Cloud Agents requiring seamless Kubernetes integration through MCP for resource discovery and cluster state inspection kubernetes-mcp-usage is a skill that facilitates Kubernetes operation through MCP, enabling connections, resource discovery, and cluster state inspection via stdio, SSE, or streamable protocols.

How do I install kubernetes-mcp-usage?

Run the command: npx killer-skills add HSn0918/kubernetes-mcp/kubernetes-mcp-usage. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for kubernetes-mcp-usage?

Key use cases include: Connecting MCP clients to Kubernetes servers, Discovering resources and inspecting cluster states, Troubleshooting failed tool calls and parameter mismatches.

Which IDEs are compatible with kubernetes-mcp-usage?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for kubernetes-mcp-usage?

Requires reachable Kubernetes server. Confirmed kubeconfig for stdio connections. Accessible endpoint for streamable connections.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add HSn0918/kubernetes-mcp/kubernetes-mcp-usage. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use kubernetes-mcp-usage immediately in the current project.

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