4,000+ servers built on vurb.ts
Vinkius
Unlock for AI Agents

Hetzner MCP Server for LlamaIndexGive LlamaIndex instant access to 38 tools to Create Certificate, Create Firewall, Create Floating Ip, and more

MCP Inspector GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Hetzner as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

Open in ChatGPT Open in Claude Open in Perplexity

The Hetzner MCP Server for LlamaIndex 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Hetzner. "
            "You have 38 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Hetzner?"
    )
    print(response)

asyncio.run(main())
Hetzner
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

About Hetzner MCP Server

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

LlamaIndex agents combine Hetzner tool responses with indexed documents for comprehensive, grounded answers. Connect 38 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 38 tools from Hetzner

Why Use LlamaIndex with the Hetzner MCP Server

LlamaIndex provides unique advantages when paired with Hetzner through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Hetzner tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Hetzner tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Hetzner, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Hetzner tools were called, what data was returned, and how it influenced the final answer

Hetzner + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Hetzner MCP Server delivers measurable value.

01

Hybrid search: combine Hetzner real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Hetzner to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Hetzner for fresh data

04

Analytical workflows: chain Hetzner queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Hetzner in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting Hetzner to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Hetzner + LlamaIndex FAQ

Common questions about integrating Hetzner MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Hetzner tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Explore More MCP Servers

View all →
GDACS

GDACS

12 tools

Monitor global disaster alerts — earthquakes, cyclones, floods, volcanoes, wildfires and droughts with real-time impact estimates.

CDC Public Health / 美国疾控中心

CDC Public Health / 美国疾控中心

8 tools

U.S. CDC official health resources — search media, audit topics, and get health recommendations via AI.

Google Cloud Logging Stream

Google Cloud Logging Stream

1 tools

This MCP does exactly one thing: it queries logs using Google Cloud Logging. That's its only function, and nothing else. Incredible for giving your AI secure observability.

SwaggerHub

SwaggerHub

10 tools

Connect your AI to SwaggerHub. Read OpenAPI specifications, explore domains, and manage your API design lifecycle natively from the terminal.