Pydantic AISDK

Hetzner MCP Server

Bring Cloud Hosting
to Pydantic AI

Name: Hetzner MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Hetzner to Pydantic AI and start using 38 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Create CertificateCreate FirewallCreate Floating IpCreate Load BalancerCreate NetworkCreate ServerCreate Ssh KeyCreate Storage Box SnapshotCreate Storage Box SubaccountCreate VolumeCreate ZoneDelete Load BalancerDelete ServerGet ActionGet ServerGet Storage BoxList CertificatesList DatacentersList FirewallsList Floating IpsList ImagesList IsosList Load BalancersList LocationsList NetworksList Placement GroupsList Primary IpsList Server TypesList ServersList Ssh KeysList Storage Box SnapshotsList Storage Box SubaccountsList Storage BoxesList VolumesList ZonesPoweron ServerRebuild ServerUpdate Storage Box

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Hetzner MCP Server?

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

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.

How it works

Subscribe to this server
Enter your Hetzner Cloud API Token
Start managing your cloud resources from Claude, Cursor, or any MCP-compatible client

No more manual navigation through the cloud console for routine checks. Your AI acts as a cloud engineer, providing instant visibility into your VPS fleet.

Who is this for?

DevOps Engineers — quickly audit server states and firewall rules without leaving the terminal or IDE
System Administrators — automate power cycles and resource monitoring through conversation
Developers — spin up or rebuild development environments directly from a coding assistant

Built-in capabilities (38)

create_certificate

Create a new certificate

create_firewall

Create a new firewall

create_floating_ip

Create a new floating IP

create_load_balancer

Create a new load balancer

create_network

Create a new network

create_server

Create a new server

create_ssh_key

Create a new SSH key

create_storage_box_snapshot

Create a manual snapshot for a Storage Box

create_storage_box_subaccount

Create a subaccount for a Storage Box

create_volume

Create a new volume

create_zone

Create a new DNS zone

delete_load_balancer

Delete a load balancer

delete_server

Delete a server

get_action

Get details of a specific action

get_server

Get details of a specific server

get_storage_box

Get details of a specific Storage Box

list_certificates

List all certificates

list_datacenters

List all datacenters

list_firewalls

List all firewalls

list_floating_ips

List all floating IPs

list_images

List all images

list_isos

List all ISOs

list_load_balancers

List all load balancers

list_locations

List all locations

list_networks

List all networks

list_placement_groups

List all placement groups

list_primary_ips

List all primary IPs

list_server_types

List all server types

list_servers

List all servers

list_ssh_keys

List all SSH keys

list_storage_box_snapshots

List snapshots for a Storage Box

list_storage_box_subaccounts

List subaccounts for a Storage Box

list_storage_boxes

List all Storage Boxes

list_volumes

List all volumes

list_zones

List all DNS zones

poweron_server

Power on a server

rebuild_server

Rebuild a server from an image

update_storage_box

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

Why Pydantic AI?

Pydantic AI validates every Hetzner tool response against typed schemas, catching data inconsistencies at build time. Connect 38 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
—
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Hetzner integration code
—
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
—
Dependency injection system cleanly separates your Hetzner connection logic from agent behavior for testable, maintainable code

See it in action

Hetzner in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Hetzner and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Hetzner to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Hetzner in Pydantic AI

The Hetzner 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. All 38 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Hetzner details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
Hetzner for Pydantic AI

Every tool call from Pydantic AI to the Hetzner MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I see the status of all my cloud servers at once?

Yes, the list_servers tool retrieves a complete list of your instances, including their IDs, status, and labels.

Is it possible to turn on a server that is currently powered off?

Absolutely. Use the poweron_server tool with the specific Server ID to initiate the power-on sequence.

Can I manage security rules through this integration?

Yes, you can use list_firewalls to audit existing rules and create_firewall to set up new protection layers for your infrastructure.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Hetzner MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

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