MCP Hetzner
Hetzner Cloud Resource Management MCP Service
rating : 2.5 points
downloads : 19
What is the Hetzner Cloud MCP Server?
The Hetzner Cloud MCP Server is a tool based on the Model Context Protocol (MCP). It allows language models to manage and operate various resources in Hetzner Cloud, such as servers, storage volumes, firewalls, etc., through a structured API.How to use the Hetzner Cloud MCP Server?
Users can create, delete, start, or stop servers, as well as manage storage volumes, firewalls, and other resources through simple commands.Applicable Scenarios
Suitable for enterprises and individual developers who need to quickly deploy and manage cloud infrastructure, especially in scenarios where automation and integration with AI assistants are required.Main Features
Server ManagementSupports listing, creating, deleting, and controlling Hetzner Cloud servers.
Storage Volume ManagementCreate, attach, detach, and resize storage volumes.
Firewall ManagementSet and apply firewall rules to specific servers.
SSH Key ManagementAdd, update, and delete SSH keys for secure access.
Resource ExplorationView available images, server types, and locations.
Advantages and Limitations
Advantages
A simple and easy - to - use structured API
Supports unified management of multiple resource types
Highly compatible with AI assistants
Limitations
Requires a valid Hetzner Cloud API token
Has certain requirements for the network environment
How to Use
Install the MCP Server
Clone the repository and install dependencies.
Configure the API Token
Add your Hetzner Cloud API token to the .env file.
Start the Server
Run the MCP server and connect to the client.
Usage Examples
Create a New ServerDemonstrate how to create a new Hetzner Cloud server.
Manage Storage VolumesDemonstrate how to create, attach, and detach storage volumes.
Frequently Asked Questions
How to obtain a Hetzner Cloud API token?
Can multiple servers be operated in batches?
Related Resources
Official Documentation
Hetzner Cloud official documentation.
GitHub Repository
MCP server source code repository.
Featured MCP Services

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
85
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
140
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
829
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
564
5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
282
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
753
4.8 points