# Docker & Kubernetes MCP Server

> Use this tool when you need to manage Docker containers and Kubernetes resources efficiently, solving problems like container orchestration and resource optimization through natural language inputs, and receiving outputs like deployment status and resource utilization, ideal for automating DevOps tasks and streamlining cloud-native applications. It accepts natural language commands as input and provides real-time output on resource management and deployment status. This enables seamless integration and management of containerized applications in various contexts, including development, testing, and production environments.

Canonical page: https://skillsregistry.net/skills/trivcodez-docker-kubernetes-mcp  
JSON: https://api.skillsregistry.net/v1/skills/trivcodez-docker-kubernetes-mcp

## Description

Enables AI assistants to manage Docker containers and Kubernetes resources through natural language, supporting operations like container management, image building, and pod/deployment/service management.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r3wym5qbu1)
- **Repository:** <https://github.com/TrivCodez/docker-kubernetes-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": "trivcodez-docker-kubernetes-mcp"
    }
  }
}
```

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