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Rent GPUs from ParalonCloud: browse, start, poll, and stop GPU rentals over the rental API.
About
Rent GPUs from ParalonCloud: browse, start, poll, and stop GPU rentals over the rental API.
Security Report
This is a legitimate GPU rental MCP server that authenticates with a Bearer key from an environment variable and talks only to the ParalonCloud API, with no exfiltration, shell execution, or hardcoded secrets found. The main concerns are that the tool descriptions steer the agent toward open-ended, per-minute billing rentals by default, and that the README's claim that retries never start a second GPU is inaccurate because a fresh idempotency key is generated on every call. Overall permissions match the stated purpose. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue.
4 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: PARALON_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-paraloncloud-mcp-rentals": {
"env": {
"PARALON_API_KEY": "your-paralon-api-key-here"
},
"args": [
"-y",
"@paraloncloud/mcp-rentals"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
ParalonCloud Rentals — MCP server
Rent GPUs from inside your AI agent. This is an MCP server for the ParalonCloud Rental API: it lets Claude Code, Claude Desktop, Cursor, or any MCP client browse GPUs, start a rental, get its connection URL, and stop it — using natural language.
One key for everything: the same
prlc_key powers ParalonCloud's OpenAI-compatible inference API. Build an agent that calls a model and rents the GPU to run the heavy job.
Tools
| Tool | What it does | Cost |
|---|---|---|
list_gpus | List rentable GPUs with price, VRAM, compute capability, country | free |
get_balance | Your credit balance | free |
create_rental | Start a Jupyter rental (async → poll) | spends credits |
get_rental | Status + connection URL once running | free |
list_rentals | Your active rentals (status: "all" for history) | free |
destroy_rental | Stop a rental and stop billing | — |
Setup
1. Get a key with the rental scope
- Create an API key in the Console.
- Turn on the GPU Rentals scope for that key (rentals are opt-in).
- Optionally set Max rentals running at once as a safety cap.
Use a dedicated key for the agent, not your production key.
2. Add it to your MCP client
The client passes your key via the PARALON_API_KEY env var — you never edit the server.
Claude Desktop — claude_desktop_config.json:
{
"mcpServers": {
"paraloncloud-rentals": {
"command": "npx",
"args": ["-y", "@paraloncloud/mcp-rentals"],
"env": {
"PARALON_API_KEY": "prlc_your_key_here"
}
}
}
}
Claude Code — one command:
claude mcp add paraloncloud-rentals \
--env PARALON_API_KEY=prlc_your_key_here \
-- npx -y @paraloncloud/mcp-rentals
Cursor — .cursor/mcp.json (same shape as Claude Desktop above).
Optional env: PARALON_BASE_URL (defaults to https://paraloncloud.com/api/v1).
3. Try it
"List the cheapest GPUs I can rent, then start a 2-hour Jupyter rental on one with at least 24GB of VRAM."
The agent calls list_gpus, picks a node, and calls create_rental with hours: 2. It then
polls get_rental for the Jupyter URL. Say "stop it" and it calls destroy_rental.
Safety
create_rentalanddestroy_rentalchange what you're billed — your MCP client will ask you to approve them (Claude Code/Desktop confirm tool calls by default). Keep that on.create_rentalauto-generates an idempotency key, so a retried call never starts a second GPU.- Pass
hoursso a rental auto-stops even if the agent forgets to. - The key's
max_active_rentalslimit (set in the Console) caps concurrency regardless.
Run locally (dev)
PARALON_API_KEY=prlc_your_key_here node server.js
Links
- Rental API docs: https://paraloncloud.com/docs/rental-api
- Console (create keys): https://paraloncloud.com/console
- Inference API: https://paraloncloud.com/docs/inference-api
MIT
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