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Hetzner MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 38 tools to Create Certificate, Create Firewall, Create Floating Ip, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Hetzner through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Hetzner MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 38 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Hetzner, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Hetzner MCP Server

Connect your Hetzner Cloud account to any AI agent to orchestrate your infrastructure through natural language.

The Vercel AI SDK gives every Hetzner tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 38 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Server Management — List all active servers, fetch specific details, and create or delete instances on demand.
  • Power Control — Remotely power on servers or rebuild them from specific images using simple commands.
  • Networking & Security — Manage private networks, configure firewalls, and handle floating IPs to ensure connectivity.
  • Load Balancing — List and create load balancers to distribute traffic across your infrastructure efficiently.

The Hetzner MCP Server exposes 38 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 38 Hetzner tools available for Vercel AI SDK

When Vercel AI SDK connects to Hetzner through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-hosting, server-management, infrastructure-as-code, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create certificate on Hetzner

Create a new certificate

create

Create firewall on Hetzner

Create a new firewall

create

Create floating ip on Hetzner

Create a new floating IP

create

Create load balancer on Hetzner

Create a new load balancer

create

Create network on Hetzner

Create a new network

create

Create server on Hetzner

Create a new server

create

Create ssh key on Hetzner

Create a new SSH key

create

Create storage box snapshot on Hetzner

Create a manual snapshot for a Storage Box

create

Create storage box subaccount on Hetzner

Create a subaccount for a Storage Box

create

Create volume on Hetzner

Create a new volume

create

Create zone on Hetzner

Create a new DNS zone

delete

Delete load balancer on Hetzner

Delete a load balancer

delete

Delete server on Hetzner

Delete a server

get

Get action on Hetzner

Get details of a specific action

get

Get server on Hetzner

Get details of a specific server

get

Get storage box on Hetzner

Get details of a specific Storage Box

list

List certificates on Hetzner

List all certificates

list

List datacenters on Hetzner

List all datacenters

list

List firewalls on Hetzner

List all firewalls

list

List floating ips on Hetzner

List all floating IPs

list

List images on Hetzner

List all images

list

List isos on Hetzner

List all ISOs

list

List load balancers on Hetzner

List all load balancers

list

List locations on Hetzner

List all locations

list

List networks on Hetzner

List all networks

list

List placement groups on Hetzner

List all placement groups

list

List primary ips on Hetzner

List all primary IPs

list

List server types on Hetzner

List all server types

list

List servers on Hetzner

List all servers

list

List ssh keys on Hetzner

List all SSH keys

list

List storage box snapshots on Hetzner

List snapshots for a Storage Box

list

List storage box subaccounts on Hetzner

List subaccounts for a Storage Box

list

List storage boxes on Hetzner

List all Storage Boxes

list

List volumes on Hetzner

List all volumes

list

List zones on Hetzner

List all DNS zones

poweron

Poweron server on Hetzner

Power on a server

rebuild

Rebuild server on Hetzner

Rebuild a server from an image

update

Update storage box on Hetzner

Update Storage Box settings (e.g., enable/disable protocols like SMB, WebDAV)

Connect Hetzner to Vercel AI SDK via MCP

Follow these steps to wire Hetzner into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 38 tools from Hetzner and passes them to the LLM

Why Use Vercel AI SDK with the Hetzner MCP Server

Vercel AI SDK provides unique advantages when paired with Hetzner through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Hetzner integration everywhere

03

Built-in streaming UI primitives let you display Hetzner tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Hetzner + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Hetzner MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Hetzner in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Hetzner tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Hetzner capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Hetzner through natural language queries

Example Prompts for Hetzner in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Hetzner immediately.

01

"List all my active servers in the Hetzner Cloud."

02

"Get the full details for server ID 12345."

03

"Power on the server with ID 12347."

Troubleshooting Hetzner MCP Server with Vercel AI SDK

Common issues when connecting Hetzner to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Hetzner + Vercel AI SDK FAQ

Common questions about integrating Hetzner MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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