# Hetzner MCP

> Use this tool when you need to manage Hetzner Cloud resources efficiently, as it solves infrastructure operation problems through natural language commands, accepting text inputs and producing resource configurations and pricing information as outputs, ideal for AI-powered environments requiring streamlined cloud management. It enables users to create, secure, and query resources, making it a valuable asset for automating and optimizing cloud infrastructure operations. By leveraging Hetzner MCP, users can simplify complex tasks and improve productivity within their cloud-based workflows.

Canonical page: https://skillsregistry.net/skills/xodus-co-hetzner-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xodus-co-hetzner-mcp

## Description

Enables users to manage Hetzner Cloud resources including servers, load balancers, and volumes through natural language commands. It facilitates infrastructure operations such as resource creation, security configuration, and real-time pricing queries within AI-powered environments.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d408ecm92w)
- **Repository:** <https://github.com/Xodus-CO/hetzner-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": "xodus-co-hetzner-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xodus-co-hetzner-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xodus-co-hetzner-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