Mcp Hetzner Go

Overview

The MCP Hetzner Go server is a lightweight, protocol‑compliant gateway that exposes the full breadth of Hetzner Cloud’s REST API to AI assistants via the Model Context Protocol (MCP). By translating MCP requests into authenticated Hetzner calls, it allows assistants such as Claude to inspect and manipulate cloud infrastructure directly from the conversation context. This eliminates the need for separate SDKs or manual API calls, enabling developers to weave cloud operations into natural language workflows seamlessly.

Solving the Cloud‑AI Integration Gap

Traditional AI assistants can generate code snippets or textual instructions, but they lack a secure, first‑class means to execute those commands against real infrastructure. MCP Hetzner Go bridges this gap by acting as a trusted intermediary: the assistant receives an URI, and the server translates that into a proper Hetzner request using the bearer token supplied in its environment. Developers can therefore ask an assistant to “list all servers” or “create a new firewall rule,” and the assistant will return live data or perform the action without leaving its interface.

Core Features & Value

• Comprehensive Read‑Only Coverage – All major Hetzner resources (servers, volumes, networks, load balancers, etc.) are exposed via and endpoints. This gives assistants instant visibility into the current state of a cloud account.
• Configurable Write Mode – With an explicit flag, the same server can be elevated to allow , , and operations. This dual‑mode design safeguards accidental destructive changes while still offering full CRUD when needed.
• Secure Token Handling – The server pulls the from its environment, ensuring credentials never travel over the network or get embedded in assistant prompts.
• Extensible Architecture – Built in Go, the server is lightweight and can be extended to support additional Hetzner resources or custom logic without affecting the MCP contract.

Real‑World Use Cases

• Infrastructure Automation – Developers can prototype Terraform‑style scripts within an assistant, then trigger actual resource creation or modification with a single command.
• Operational Monitoring – Support teams can ask an assistant to “show me all floating IPs in the data center,” and receive up‑to‑date information without logging into the Hetzner dashboard.
• Rapid Prototyping – New projects can spin up test environments on demand by instructing the assistant to create servers, volumes, and networks, all orchestrated through MCP calls.
• Continuous Integration – CI pipelines can embed the server as a step that verifies infrastructure state or cleans up resources after tests, driven by assistant logic.

Integration with AI Workflows

In practice, a developer configures the MCP server in Claude Desktop’s . Once registered, any assistant prompt that includes an MCP URI (e.g., ) is automatically forwarded to the Go server. The assistant then receives a JSON payload or confirmation message, which it can present in conversation or use as input for subsequent steps. Because MCP enforces a strict request/response schema, the assistant can reliably parse and manipulate the data, enabling advanced chaining of commands—such as “create a server, then attach it to a load balancer” in a single conversational flow.

Standout Advantages

• Zero‑Code Interaction – No need to write or maintain SDK wrappers; the assistant handles everything through standard MCP calls.
• Safety First – The default read‑only mode protects against accidental changes, while a deliberate flag enables full control when the developer is ready.
• Open‑Source Simplicity – The server’s Go implementation is minimal, making it easy to audit, customize, or host in a private environment.
• Community Adoption – Being listed in the official Awesome HCloud collection signals reliability and community support, encouraging broader adoption among developers who already use Hetzner Cloud.

Overall, MCP Hetzner Go empowers AI assistants to become true operational partners in cloud management, turning natural language queries into authenticated, actionable commands while maintaining robust safety controls.