Mindket

Proxmox server controlled from chat by a Gemini agent

Newversion 1 · updated

Overview

An n8n workflow with a chat window. A Gemini agent turns a request into a Proxmox API call, the workflow runs it with your token, and a second agent explains the result.

Proxmox server controlled from chat by a Gemini agent is an n8n workflow in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page or copy its JSON, then import it into an n8n canvas. Nothing runs until you activate it in n8n.

At a glance

Runs in
  • Your own n8n server: on the same network as Proxmox, which is the simplest case
  • n8n Cloud: only if your Proxmox is reachable from the internet, which is a risk of its own
  • Other triggers: swap the chat trigger for another one, and make the prompt in AI Agent read the field it sends
  • Other models: swap the Gemini nodes for any chat model n8n supports

Platform

Connects 2 apps

How it works

Trigger

Chat window

It starts when you press Chat on the canvas and send a message with:

  • A task for your Proxmox server, in plain words

Actions

  1. The first agent reads the request and may check the cluster status or two Proxmox documentation pages
  2. It answers with a method, a path and, when needed, a body
  3. The workflow sends the call to Proxmox with your API token
  4. A GET result goes to a second agent that explains it in words
  5. A POST or DELETE result becomes one sentence with the operation, the node, the user and the time

Result

A plain explanation of what Proxmox returned, or a one sentence receipt of the change made

Integrations

What you need before you start.

Proxmox

Virtualization server

Receives the calls the agent writes, such as listing VMs, starting a VM or deleting one.

NeedsA Proxmox server n8n can reach on port 8006, and an API token

Google Gemini

Language model

Runs the two agents and the step that repairs a badly shaped answer.

NeedsGoogle Gemini API key

Workflow check

Checked by Mindket on 13 Nov 2026

Steps
16 steps, starting on a chat message
AI
2 steps call an AI model: AI Agent and AI Agent1
Sign-ins
Signs in to: a web service and Google Gemini
API keys
No API key is left in the file
Step types
Mindket’s checker reads 6 of its 7 step types. It does not read: AI Agent

Read from the workflow’s file, not from a run.

About

What it is

This n8n workflow lets you run a Proxmox server by chatting. You describe a task, such as listing the VMs on a node or starting one. A Gemini agent turns it into a Proxmox API call and picks the method, the path and the body. The workflow sends the call with your API token. A second agent explains the result in plain words. Twenty four nodes do the work, beside seven sticky notes.

Who it suits

Homelab owners and small IT teams who run Proxmox and want to try an agent on routine tasks. Start in a lab. A request can create, change or delete a VM at once, so keep the token narrow and the first tries harmless.

Who uses it, and how
IndustryWho uses itHow they use itExample
IT operationsSysadminsAsk for the state of VMs without opening the consoleA sysadmin asks which VMs on a node are running.
HomelabHobbyistsStart and stop test machines by chatA hobbyist asks to start VM 202 before a test.
TrainingInstructorsShow students how an agent maps words to an APIAn instructor types a request and opens each node to show the call it made.
SoftwareDevelopersBuild a first agent that acts on an APIA developer swaps the Proxmox calls for another system’s API and keeps the routing.

You need some n8n and some Proxmox: import a file, add two credentials and replace the sample hosts. Nothing in the file states a setup time.

Where to use it

Any n8n that can reach your Proxmox on port 8006 and Google’s Gemini API will run it.

  • Your own n8n server: on the same network as Proxmox, which is the simplest case
  • n8n Cloud: only if your Proxmox is reachable from the internet, which is a risk of its own
  • Other triggers: swap the chat trigger for another one, and make the prompt in AI Agent read the field it sends
  • Other models: swap the Gemini nodes for any chat model n8n supports

Setup

Download saves a zip with workflow.json and Mindket’s setup notes in your downloads folder. Two credentials cover every step.

What you need first
NeedDetail
n8nOn a server that can reach your Proxmox on port 8006
ProxmoxAn API token, ideally one that can only read
GoogleA Gemini API key for a Google Gemini (PaLM) API credential
  1. In n8n, create a workflow, open its menu, choose Import from File and pick workflow.json.
  2. In Proxmox, create an API token. In n8n, add a Header Auth credential named Authorization with the value PVEAPIToken=user@pam!tokenname=<token-secret>, using your own user, login type and token name.
  3. Select it in Proxmox and in HTTP Request to HTTP Request4. In those six nodes, replace <YOUR_PROXMOX_HOST> with the address of one of your nodes.
  4. In the prompt of AI Agent and the description of Proxmox, put your own addresses and node names in place of the sample ones.
  5. Add a Gemini credential and select it in the three Google Gemini Chat Model nodes.
  6. Save, open the chat and ask for something harmless, such as listing the VMs on a node.

How to use it

Open the chat and ask for a task in plain words. Start with a read, such as listing the VMs on a node, before you try a change. Open the run to see the call the agent chose.

What to change for a different result
To changeWhere
What the agent knows about your nodesThe prompt in AI Agent and the description in Proxmox
What it may doSwitch: remove the DELETE rule to forbid deletion
The summary’s toneThe prompt in AI Agent1
The modelsThe three Google Gemini Chat Model nodes
The triggerThe chat trigger, swapped for another

Example

You type “Start VM 202 on psb1”.

The agent answers with a POST to /nodes/psb1/qemu/202/status/start. Switch sends it down the POST path and an HTTP request calls your Proxmox. The workflow then turns the task id it gets back into one sentence with the operation, the node, the user and the time.

For newcomers and experts

If you are new. n8n draws a workflow as boxes joined by lines, and each box, a node, does one job. The first agent only writes the call. The routing boxes then run it, and the second agent explains what came back. An API is how programs ask Proxmox to act, and the token is the key it checks.

For experts. The agent’s answer is forced into a fixed JSON shape, and a Switch on response_type decides which HTTP node runs.

Where to look closer
NodeWhat it doesWhat to know
AI AgentVersion 1.7, a ReAct agent with an output parser, three tools and a long promptn8n marks the ReAct type deprecated and says it is removed in version 3
Structured Output ParserVersion 1.2, a shape taken from an example with response_type, url, details and messageAuto-fixing Output Parser retries a bad answer with Google Gemini Chat Model1
SwitchVersion 3.2, six outputs by response_typePUT (named Update), OPTIONS and Invalid lead nowhere
HTTP Request and its four siblingsVersion 4.2 with Header Auth, ignoring SSL certificate problemsThe path comes from output.url and the body from output.details
Structgure Response from ProxmoxA Code node that splits the task id Proxmox returnsIt reads node, operation, user and time from fixed positions

Good to know

A model decides, and your server obeys.

  • It changes things: POST and DELETE calls run at once, with your token’s rights, from what a model understood. There is no confirmation step, so a request to delete a VM deletes it. Use a narrow token and a lab you can rebuild
  • Certificates: the five HTTP Request nodes ignore SSL certificate problems, so they trust any certificate. That suits a Proxmox with its own certificate, but turn it off if yours is valid
  • Dead ends: PUT, OPTIONS and Invalid have nothing wired to them, so the run ends with no call and no answer. The agent’s own examples include PUT, for things such as resizing a disk
  • Models: the original copy named models/gemini-2.0-flash-exp. Google’s deprecations page, read on 12 November 2026, says the gemini-2.0-flash family shut down on 1 June 2026 and names gemini-3.6-flash as its replacement, so Mindket’s copy uses that
  • Agent types: n8n marks the ReAct and Conversational types used here as deprecated and says they are removed in version 3
  • A repair: the GET branch read its path from a field the agent’s answer does not have. Mindket’s copy reads output.url, as the other branches do
  • Your data: your requests and what Proxmox returns, such as VM names and status, go to Google’s Gemini
  • Where it runs: from n8n’s Chat window in the editor. Nothing in the file opens a public chat
  • Credentials: the JSON holds none, and the hosts in it are placeholders

README and files

README

Proxmox server controlled from chat by a Gemini agent

An n8n workflow with a chat window. You describe what you want done on a Proxmox cluster, such as listing the VMs on a node
or starting one. A Gemini agent turns the request into a Proxmox API call with a method, a path and a body. The workflow
runs the call with your API token, and a second agent explains the result in plain words.

What is inside

  • workflow.json: the workflow as n8n exports it, 24 nodes beside 7 sticky notes. It holds no credential.
  • README.md: these notes.

What we changed from the original copy

Mindket cleaned up and repaired the copy:

  • Three trigger nodes led nowhere: Telegram, Gmail and a webhook. Each would have asked for a credential before the
    workflow could be published, so Mindket removed them. A sticky note still says any trigger can feed the agent.
  • A sticky note held a donation link and personal contact details. Mindket's copy drops it.
  • The original copy held someone's own Proxmox addresses: one public host and some private ones. They are now
    <YOUR_PROXMOX_HOST>, <YOUR_PROXMOX_HOST_2> and <YOUR_PROXMOX_HOST_3>, and one request node that called a different
    host from the rest now calls the same one.
  • The GET branch read its path from output.properties.url.pattern, a field the agent's answer does not have. The prompt
    and the output example put it in url, as the other branches read it, so Mindket's copy reads output.url there and in
    the summary agent's text.
  • The three chat models named models/gemini-2.0-flash-exp. Google's deprecations page, read on 12 November 2026, says the
    gemini-2.0-flash family shut down on 1 June 2026 and names gemini-3.6-flash as its replacement. The page does not list
    the exp name. Mindket's copy uses models/gemini-3.6-flash.
  • No credential is inside.

Before you start

  • An n8n instance, on n8n Cloud or your own server, that can reach your Proxmox on port 8006.
  • A Proxmox API token. A token that can only read is the safe way to start.
  • A Google Gemini API key, for a Google Gemini (PaLM) API credential.

Set it up

  1. In n8n, create a workflow, open its menu and choose Import from File. Pick workflow.json.
  2. In Proxmox, create an API token. In n8n, add a Header Auth credential with the name Authorization and the value
    PVEAPIToken=user@pam!tokenname=<token-secret>, using your own user, login type and token name.
  3. Select that credential in Proxmox, HTTP Request, HTTP Request1, HTTP Request2, HTTP Request3 and
    HTTP Request4.
  4. In those same six nodes, replace <YOUR_PROXMOX_HOST> with the address of one of your nodes.
  5. In the prompt of AI Agent and the description of Proxmox, replace the three host placeholders with your own addresses
    and psb1, psb2 and psb3 with your node names. Delete lines for nodes you do not have.
  6. Add a Gemini credential and select it in Google Gemini Chat Model, Google Gemini Chat Model1 and
    Google Gemini Chat Model2.
  7. Save, open the chat and ask for something harmless, such as listing the VMs on a node.

How a run goes

  1. When chat message received starts a run when you send a message.
  2. AI Agent is a ReAct agent with Google Gemini Chat Model. It can call three tools: Proxmox, which reads the cluster
    status, and Proxmox API Documentation and Proxmox API Wiki, which read two pages from Proxmox's site. It answers in
    JSON with response_type, url and details. Structured Output Parser sets that shape, and Auto-fixing Output Parser
    asks Google Gemini Chat Model1 to repair an answer that does not fit.
  3. Switch sends the request by response_type: GET, POST, PUT, OPTIONS, DELETE or Invalid.
  4. For GET, HTTP Request calls the path. Structure Response turns each item into one line of text, and AI Agent1, a
    Conversational agent with Google Gemini Chat Model2, explains it in words.
  5. For POST, If checks whether the answer has details. With them, HTTP Request1 posts them as the body. Without,
    HTTP Request2 posts with no body. Merge joins the two.
  6. For DELETE, If1 leads to HTTP Request3 or HTTP Request4. Both send DELETE with no body, and Merge1 joins them.
  7. Structgure Response from Proxmox splits the task id that Proxmox returns into node, operation, user and time. `Format
    Response and Hide Sensitive Data` writes one sentence from them.

Change the look

  • What the agent may do and how it writes calls: the prompt in AI Agent.
  • Taking deletion away: remove the DELETE rule in Switch, or the nodes after it.
  • The input: swap the chat trigger for another trigger. The prompt reads {{ $json.chatInput }}.
  • The summary's tone: the prompt in AI Agent1.
  • The models: the three Gemini nodes.

Good to know

  • It changes things. POST and DELETE calls run at once, with your token's rights, from what a model understood. There is no
    confirmation step, so a request to delete a VM deletes it. Use a narrow token and a lab you can rebuild.
  • The five HTTP Request nodes have the option that ignores SSL certificate problems turned on, so they trust any certificate. That
    suits a Proxmox with its own certificate, but turn it off if yours is valid.
  • PUT, OPTIONS and Invalid have nothing wired to them, so the run ends with no call and no answer. The agent's own examples
    include PUT, for things such as resizing a disk, so those requests are lost.
  • n8n marks the ReAct and Conversational agent types used here as deprecated and says they are removed in version 3. A newer
    AI Agent node replaces them.
  • Your requests and what Proxmox returns, such as VM names and status, go to Google's Gemini.
  • It runs from n8n's Chat window in the editor. Nothing in the file opens a public chat.
  • The JSON holds no credential.
Files
NOTICE.md  644 B
README.md  6 KB
workflow.json  33 KB

3 files, 39 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

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