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kubernetes-mcp-usage — how to use kubernetes-mcp-usage how to use kubernetes-mcp-usage, kubernetes-mcp-usage setup guide, kubernetes-mcp-usage alternative, kubernetes-mcp-usage vs kubectl, kubernetes-mcp-usage install, kubernetes-mcp-usage troubleshooting

v1.0.0
GitHub

About this Skill

Ideal for Cloud Agents requiring seamless Kubernetes operation through MCP, enhancing cluster management capabilities. kubernetes-mcp-usage is a skill for operating Kubernetes through MCP, providing features for connection, resource discovery, and troubleshooting.

Features

Connect MCP client to server via stdio, SSE, or streamable protocols
Discover resources and inspect cluster state using kubernetes-mcp
Check logs, events, and metrics for troubleshooting purposes
Confirm server reachability using binary commands and local kubeconfig
Troubleshoot failed tool calls and parameter mismatch issues

# Core Topics

HSn0918 HSn0918
[0]
[0]
Updated: 3/6/2026

Quality Score

Top 5%
47
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add HSn0918/kubernetes-mcp/kubernetes-mcp-usage

Agent Capability Analysis

The kubernetes-mcp-usage MCP Server by HSn0918 is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use kubernetes-mcp-usage, kubernetes-mcp-usage setup guide, kubernetes-mcp-usage alternative.

Ideal Agent Persona

Ideal for Cloud Agents requiring seamless Kubernetes operation through MCP, enhancing cluster management capabilities.

Core Value

Empowers agents to connect MCP clients to Kubernetes servers via stdio, sse, or streamable protocols, facilitating resource discovery, cluster state inspection, and log/event/metric analysis using kubernetes-mcp.

Capabilities Granted for kubernetes-mcp-usage MCP Server

Connecting MCP clients to Kubernetes servers for streamlined cluster management
Inspecting cluster states and checking logs, events, and metrics for troubleshooting purposes
Discovering resources and troubleshooting failed tool calls and parameter mismatches

! Prerequisites & Limits

  • Requires reachable Kubernetes server
  • Limited to kubernetes-mcp protocol
  • Needs compatible kubeconfig for stdio connections
Project
SKILL.md
2.2 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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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.

Recommended Tool Flow

  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.

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