Can an AI agent rent a server by itself?

Yes. EQVPS exposes a REST API and an MCP server, so an agent with credentials and a funded balance can list plans, create a server, fetch its SSH details, and terminate it — no human in the loop.

Why not just run the agent on my laptop?

Agents that poll, watch, or react need to be online when you aren't. A laptop sleeps, loses Wi-Fi, and reboots. A VPS gives the agent a fixed address and constant uptime.

Which plan should I pick for an agent?

Start with AI-Agent ($10/mo — 4 vCPU, 4 GB RAM, 40 GB NVMe). It handles a Python or Node agent loop, a vector store, and a few containers. Scale up only if you add local models.

Can I run a local LLM on it?

Small quantized models, yes — but these are CPU instances, so expect modest throughput. Most agents call an external model API and use the server for orchestration, memory, and tools, which these plans handle comfortably.

Do I need to give you an ID?

No. Sign up with an email and pay in USDC or USDT. We never ask for documents.

VPS for AI Agents

Run autonomous AI agents 24/7 on a server that never sleeps. Full root, crypto payment, no KYC — and an MCP server so the agent can provision its own infrastructure. From $10/mo.

An AI agent that only runs while your laptop is open isn't an agent — it's a script. The moment you want it to watch a mailbox, poll an API every minute, respond to a webhook, or keep working while you sleep, it needs a machine of its own.

That's what this page is about: putting an agent on a server, correctly, in a few minutes.

What an agent actually needs from a server

Agents are not heavy in the way a database or a game server is heavy. They're persistent. The requirements look like this:

Uptime, not horsepower. The agent loop mostly waits — for a model response, a webhook, a cron tick. It needs to be alive, not fast.
A fixed public identity. Webhooks and callbacks need somewhere to arrive. A dedicated IP or a stable forwarded port does that.
Memory that survives restarts. Vector stores, SQLite, conversation history — these live on disk, so you want real NVMe, not a throttled disk.
Room for a few containers. In practice: the agent process, a vector DB, maybe Redis, maybe a small dashboard.

That profile fits a modest box. Our AI-Agent plan — $10/month, 4 vCPU, 4 GB RAM, 40 GB NVMe — is built exactly for it. Most agents never outgrow it.

Deploy in about a minute

Order the plan, pay in USDC or USDT, and you get root SSH access within roughly a minute. Then:

# 1. Basic hardening
apt update && apt upgrade -y
apt install -y python3-pip python3-venv git tmux

# 2. Your agent
git clone https://github.com/you/your-agent.git
cd your-agent
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

# 3. Keep it alive across reboots and disconnects
cat >/etc/systemd/system/agent.service <<'EOF'
[Unit]
Description=AI Agent
After=network.target

[Service]
Type=simple
WorkingDirectory=/root/your-agent
ExecStart=/root/your-agent/.venv/bin/python main.py
Restart=always
RestartSec=5
EnvironmentFile=/root/your-agent/.env

[Install]
WantedBy=multi-user.target
EOF

systemctl daemon-reload
systemctl enable --now agent
journalctl -u agent -f

That last line is the one you'll actually live in — it streams the agent's logs so you can watch it think.

Prefer Docker? Docker Compose works out of the box on our clean Ubuntu and Debian images — the same server runs your agent, a Qdrant or Postgres instance, and Redis side by side without breaking a sweat.

The part no other host does: the agent can buy its own server

This is where EQVPS stops being a normal VPS provider.

We expose a REST API and an MCP server (Model Context Protocol — the standard Claude, Cursor, and a growing list of clients speak natively). Point an agent at it, give it credentials and a funded balance, and it can:

list available plans and prices,
create a server,
read back its own SSH details,
reinstall, reboot, or terminate it when the job is done.

No dashboard. No human clicking "confirm". An agent that needs a sandbox to run untrusted code, or a swarm coordinator that needs to scale out for an hour and scale back down, can do that on its own — and pay for it from a prepaid crypto balance.

If you're building agent infrastructure, that's the piece that's usually missing: agents can call APIs all day, but almost no one lets them provision and pay for compute without a human. We do.

Full docs and the MCP endpoint are at /docs.

Why crypto and no KYC matter here

Agent projects are often experiments, spun up under a throwaway identity, funded from a wallet rather than a corporate card. Requiring a passport scan to rent a $10 box makes no sense in that world.

So we don't. Email to sign up. USDC or USDT to pay — on Base, Ethereum, or Tron. No documents, no card, no waiting on a verification queue. Never used crypto before? Here's the five-minute version.

Picking a plan

If your agent…	Plan	Price
Runs a single loop, calls an external model API	AI-Agent	$10/mo
Needs a public IP for inbound webhooks	AI-Agent-IP	$15/mo
Is a light bot or cron job with modest memory	Micro	$5/mo
Runs several containers, a vector DB, and a dashboard	Medium	$12/mo

All plans include full root, NVMe storage, unmetered traffic on a 1 Gbit/s port, and servers in Germany or Finland. Pay yearly and it's one crypto transfer instead of twelve.

Run an AI agent 24/7 on a VPS — the long-form version of the setup above
Host an MCP server — expose your own tools to Claude and other clients
Host a vector DB for AI memory — giving your agent something to remember with

Ready? Deploy an AI-Agent server → — live in about a minute, paid in crypto, no ID required.