# mcp-kubernetics

> Use this tool when you need to introspect and manage Kubernetes clusters, solving problems such as monitoring pod performance, troubleshooting node issues, and tracking events. It provides an interface for listing pods, namespaces, nodes, and events, accepting cluster credentials as input and outputting detailed cluster information. Ideal for use in containerized environments where cluster visibility and control are crucial.

Canonical page: https://skillsregistry.net/skills/ddjain-kubernetics-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ddjain-kubernetics-mcp-server

## Description

Enables Kubernetes cluster introspection via MCP tools, such as listing pods, namespaces, nodes, and events.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iy064l20u4)
- **Repository:** <https://github.com/ddjain/kubernetics-mcp-server>

## 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": "ddjain-kubernetics-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ddjain-kubernetics-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ddjain-kubernetics-mcp-server/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