Hetzner MCP Server for LangChainGive LangChain instant access to 38 tools to Create Certificate, Create Firewall, Create Floating Ip, and more
LangChain is the leading Python framework for composable LLM applications. Connect Hetzner through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Hetzner MCP Server for LangChain is a standout in the Developer Tools category — giving your AI agent 38 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"hetzner": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Hetzner, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with Hetzner through native MCP adapters. Connect 38 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 certificate on Hetzner
Create a new certificate
Create firewall on Hetzner
Create a new firewall
Create floating ip on Hetzner
Create a new floating IP
Create load balancer on Hetzner
Create a new load balancer
Create network on Hetzner
Create a new network
Create server on Hetzner
Create a new server
Create ssh key on Hetzner
Create a new SSH key
Create storage box snapshot on Hetzner
Create a manual snapshot for a Storage Box
Create storage box subaccount on Hetzner
Create a subaccount for a Storage Box
Create volume on Hetzner
Create a new volume
Create zone on Hetzner
Create a new DNS zone
Delete load balancer on Hetzner
Delete a load balancer
Delete server on Hetzner
Delete a server
Get action on Hetzner
Get details of a specific action
Get server on Hetzner
Get details of a specific server
Get storage box on Hetzner
Get details of a specific Storage Box
List certificates on Hetzner
List all certificates
List datacenters on Hetzner
List all datacenters
List firewalls on Hetzner
List all firewalls
List floating ips on Hetzner
List all floating IPs
List images on Hetzner
List all images
List isos on Hetzner
List all ISOs
List load balancers on Hetzner
List all load balancers
List locations on Hetzner
List all locations
List networks on Hetzner
List all networks
List placement groups on Hetzner
List all placement groups
List primary ips on Hetzner
List all primary IPs
List server types on Hetzner
List all server types
List servers on Hetzner
List all servers
List ssh keys on Hetzner
List all SSH keys
List storage box snapshots on Hetzner
List snapshots for a Storage Box
List storage box subaccounts on Hetzner
List subaccounts for a Storage Box
List storage boxes on Hetzner
List all Storage Boxes
List volumes on Hetzner
List all volumes
List zones on Hetzner
List all DNS zones
Poweron server on Hetzner
Power on a server
Rebuild server on Hetzner
Rebuild a server from an image
Update storage box on Hetzner
Update Storage Box settings (e.g., enable/disable protocols like SMB, WebDAV)
Connect Hetzner to LangChain via MCP
Follow these steps to wire Hetzner into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Hetzner MCP Server
LangChain provides unique advantages when paired with Hetzner through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Hetzner MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Hetzner queries for multi-turn workflows
Hetzner + LangChain Use Cases
Practical scenarios where LangChain combined with the Hetzner MCP Server delivers measurable value.
RAG with live data: combine Hetzner tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Hetzner, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Hetzner tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Hetzner tool call, measure latency, and optimize your agent's performance
Example Prompts for Hetzner in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Hetzner immediately.
"List all my active servers in the Hetzner Cloud."
"Get the full details for server ID 12345."
"Power on the server with ID 12347."
Troubleshooting Hetzner MCP Server with LangChain
Common issues when connecting Hetzner to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHetzner + LangChain FAQ
Common questions about integrating Hetzner MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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