# Kubernetes

> Use this tool when you need to manage Kubernetes clusters programmatically, solving problems like DevOps automation, cluster monitoring, and CI/CD pipeline integration. It provides inputs for executing commands, applying YAML manifests, and retrieving pod logs, and outputs resource information, logs, and command execution results. Use it in contexts where natural language interface-based cluster management is required, such as automated deployment and troubleshooting workflows.

Canonical page: https://skillsregistry.net/skills/stackloklabs-kubernetes  
JSON: https://api.skillsregistry.net/v1/skills/stackloklabs-kubernetes

## Description

This MCP server provides comprehensive Kubernetes cluster management capabilities, enabling AI assistants to list, get, apply, delete, and execute commands on Kubernetes resources across both namespaced and clustered scopes. Built by StacklokLabs using Go with the Kubernetes client-go library and mark3labs/mcp-go framework, it features rate limiting with configurable per-tool limits, timeout middleware to prevent context cancellation errors, periodic kubeconfig refresh for long-running deployments, and special handling for pod operations including log retrieval and command execution with configurable timeouts. The implementation offers both read-only and read-write modes, optional resource serving to reduce LLM context size for large clusters, SSE transport support, and tools for applying YAML manifests, retrieving pod logs with filtering options, executing commands in containers, and accessing subresources like status and scale, making it valuable for DevOps automation, cluster monitoring and troubleshooting, CI/CD pipeline integration, and any workflow requiring programmatic Kubernetes cluster management through natural language interfaces.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/stackloklabs-kubernetes)
- **Repository:** <https://github.com/stackloklabs/mkp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "stackloklabs-kubernetes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stackloklabs-kubernetes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stackloklabs-kubernetes/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt