MCP Hetzner Cloud Server

MCP Hetzner Go is a dedicated Model Context Protocol (MCP) server that bridges AI assistants with the Hetzner Cloud API. It enables developers to expose their Hetzner infrastructure—servers, networking, storage, and more—to conversational agents like Claude in a secure, programmatic way. By translating MCP calls into native Hetzner API requests, the server turns complex cloud operations into simple, language‑model friendly actions.

The core problem it solves is the integration gap between AI assistants and cloud providers. Most assistants can only handle generic HTTP requests, but managing a Hetzner deployment requires authentication tokens, pagination handling, and resource‑specific logic. MCP Hetzner Go encapsulates all of that complexity behind a standardized protocol, allowing an assistant to query or modify cloud resources without the user writing custom API wrappers. This lowers the barrier for developers who want to automate provisioning, monitor uptime, or orchestrate infrastructure changes through natural language.

Key capabilities include full support for GET and LIST operations across a wide range of Hetzner resources such as certificates, SSH keys, servers, images, load balancers, and volumes. The server can be toggled between a safe read‑only mode—ideal for monitoring and reporting—and an optional read‑write mode that unlocks creation, updating, and deletion of resources. This dual‑mode design gives teams fine-grained control over who can modify infrastructure, mitigating accidental changes while still enabling automation. Additional features like pricing queries and placement group management provide a comprehensive view of the cloud environment, all accessible through a single MCP endpoint.

In real‑world scenarios, teams can embed the server into CI/CD pipelines or chatbot interfaces to spin up test servers on demand, revoke SSH keys after deployments, or balance traffic across load balancers—all triggered by simple conversational commands. For example, a support engineer could ask the assistant to “create a new server in Frankfurt with 4 GB RAM” and have the request executed instantly. Because MCP abstracts authentication, developers can keep their Hetzner tokens secure and delegate only the necessary permissions to the assistant.

Integration is straightforward: developers configure a single MCP server executable and reference it in their AI client (e.g., Claude Desktop). The assistant then interacts with the server using standard MCP verbs, benefiting from consistent error handling and pagination. By centralizing cloud logic in one place, the server eliminates duplicate code across projects and ensures that all agents share a single source of truth for infrastructure state.

Overall, MCP Hetzner Go delivers a robust, secure, and developer‑friendly bridge between conversational AI and the Hetzner Cloud, empowering teams to automate infrastructure tasks with natural language while maintaining strict control over permissions and operations.