# k8s-dev-mcp

> Use this tool when you need to access Kubernetes resources and documentation to enhance AI-assisted development workflows. It provides inputs such as KEPs, contributor guidelines, and official documentation, and outputs relevant information via the Model Context Protocol. Ideal for use cases where AI agents require context-specific knowledge of Kubernetes development and contributor guidelines.

Canonical page: https://skillsregistry.net/skills/jefftree-k8s-dev-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jefftree-k8s-dev-mcp

## Description

Provides AI assistants with tools to access Kubernetes enhancement proposals (KEPs), contributor guidelines, and official documentation via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xa8rnzpkgi)
- **Repository:** <https://github.com/Jefftree/k8s-dev-mcp>

## 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": "jefftree-k8s-dev-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jefftree-k8s-dev-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jefftree-k8s-dev-mcp/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