# MCP Remote Server for Kubernetes

> Use this tool when you need to manage Kubernetes clusters remotely using natural language commands, or when automating cluster operations such as Pod, Service, and Deployment management. It solves problems related to remote cluster access, log retrieval, and resource management, while providing secure authentication and authorization through JWT and RBAC. It accepts natural language inputs over HTTP/SSE and returns operational outputs, making it ideal for use cases requiring programmatic cluster control.

Canonical page: https://skillsregistry.net/skills/huchunlinnk-mcp-remote-server-kubernetes  
JSON: https://api.skillsregistry.net/v1/skills/huchunlinnk-mcp-remote-server-kubernetes

## Description

Provides Kubernetes cluster management capabilities through natural language via MCP protocol over HTTP/SSE. Supports Pod, Service, Deployment operations, log retrieval, and resource management with JWT authentication and RBAC permissions.

## Trust

- **Trust score (0–1):** 0.76
- **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:** [Glama](https://glama.ai/mcp/servers/fzku23efhy)
- **Repository:** <https://github.com/huchunlinnk/mcp-remote-server-kubernetes>

## 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": "huchunlinnk-mcp-remote-server-kubernetes"
    }
  }
}
```

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

---
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