ParalonCloud Rentals

io.github.ParalonCloud由 GitHub 帳號 ParalonCloud 發布v1.1.0更新於 Nov 5, 2026

Rent GPUs on ParalonCloud, or as a provider manage your nodes, prices and earnings.

概覽

AI 產生的概覽

在 AI 助理中租用 ParalonCloud GPU,或以提供者身分管理自己的 GPU 節點、價格與收益。

可以做什麼
  • 瀏覽可租 GPU 的價格、VRAM、運算能力與所在國家,並查詢帳戶餘額
  • 建立、查看與停止租用,支援 JupyterLab 或 SSH 連線以及應用程式範本
  • 管理供 SSH 租用使用的已儲存 SSH 公開金鑰
  • 列出提供者節點及其狀態、價格區間與即時 GPU 負載、溫度與功耗
  • 新增節點、取得安裝指令,設定可用狀態、價格、競價模式與租客存取權限
  • 依日查看收益與可提領餘額
適用情境
適合讓助理為某項工作尋找並啟動 GPU 租用、取得連線網址並在完成後停止以結束計費;也適合在 ParalonCloud 提供 GPU 的使用者以對話方式查看節點狀態、調整價格與檢視收益。
執行需求
以 npm 套件形式透過 npx 在本機執行,需要 Node.js。需要 ParalonCloud 的 prlc_ API 金鑰,透過環境變數 PARALON_API_KEY 傳入;租用需 rental 權限,提供者工具需 nodes 權限。需要連線至 ParalonCloud 的網路;可用 PARALON_BASE_URL 覆寫端點位址。SSH 租用需在持有私密金鑰的電腦上安裝 cloudflared。
安裝前請注意
create_rental 會依分鐘計費並消耗額度,呼叫前應先確認,並傳入 hours 讓租用自動停止。destroy_rental 會停止計費。提供者工具會變更節點狀態、價格與租客存取權限,reclaim_spot_node 會在兩分鐘後停止租客的競價租用。add_node 與 get_node_install_command 回傳的指令含有節點祕密權杖,應保持私密。建議使用僅具所需權限的專用金鑰,並保持用戶端的工具呼叫確認開啟。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 ParalonCloud Rentals,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

ParalonCloud MCP server

Rent GPUs from inside your AI agent, and, if you provide GPUs, run your own nodes from it. This is an MCP server for the ParalonCloud Rental API and Provider API: it lets Claude Code, Claude Desktop, Cursor, or any MCP client

  • rent: browse GPUs, start a rental, get its connection URL, and stop it;
  • provide: list your nodes with live GPU load and temperature, add a node and get its install command, take a node off the market and back, set its price, reclaim a spot node, and read your earnings,

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.

Formerly @paraloncloud/mcp-rentals. That package is deprecated: switch your config to @paraloncloud/mcp.

Tools

Renting (key needs the rental scope)

ToolWhat it doesCost
list_gpusList rentable GPUs with price, VRAM, compute capability, countryfree
get_balanceYour credit balancefree
list_templatesApps a rental can start with (ComfyUI, Open WebUI with Ollama, Unsloth Studio), their version and minimumsfree
create_rentalStart a rental with JupyterLab or SSH (type: "ssh"), optionally with an app installed (template: "comfyui", "openwebui" or "unsloth"; an app with its own sign-in returns it in app.login) (async → poll)spends credits
get_rentalStatus + the JupyterLab URL or the SSH command once running, and an app's link (connection.app_url)free
list_rentalsYour active rentals (status: "all" for history)free
destroy_rentalStop a rental and stop billing—
list_ssh_keysThe SSH public keys an SSH rental installsfree
add_ssh_keySave an SSH public key (the .pub line, never the private key)free
delete_ssh_keyDelete a saved key; new SSH rentals stop accepting itfree

An SSH rental installs every saved key, so the agent can make its own key, add it, rent with type: "ssh", and run commands on the machine. Connecting needs cloudflared on the computer that holds the private key: get_rental returns the command.

Your nodes, for GPU providers (key needs the nodes scope)

ToolWhat it does
list_my_nodesYour nodes: state (available, rented, paused, offline, …), GPUs, price and its allowed range, the current rental, live per-GPU load, temperature, power and memory
get_my_nodeOne node, same fields
add_nodeAdd a node; returns the docker command that installs the agent (it holds the node's token)
get_node_install_commandThe install command of an existing node, again
set_node_availableTake a node off the market, or put it back; a running rental goes on to its end
set_node_priceSet the price in USD per hour for the node, or null for the default
update_nodeChange name, spot, availability and price in one call
reclaim_spot_nodeTake a spot node back for your own use; a spot rental on it stops in 2 minutes
get_node_accessWho can rent a node: everyone, or only the people, domains and organizations listed
set_node_accessKeep a node private for chosen renters (email, domain, organization), or open it to everyone ([])
get_earningsEarnings by day (rentals per node, inference per account) and the withdrawable balance

Payouts are not reachable from the API or this server. Deleting a node stays on the site.

Setup

1. Get a key with the right scope

  1. Create an API key in the Console.
  2. To rent, turn on GPU rentals for that key (rentals are opt-in), and optionally set Max rentals running at once as a safety cap.
  3. To manage your own nodes, turn on My nodes. One key can have both.

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:

json
{  "mcpServers": {    "paraloncloud": {      "command": "npx",      "args": ["-y", "@paraloncloud/mcp"],      "env": {        "PARALON_API_KEY": "prlc_your_key_here"      }    }  }}

Claude Code — one command:

bash
claude mcp add paraloncloud \  --env PARALON_API_KEY=prlc_your_key_here \  -- npx -y @paraloncloud/mcp

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.

"Rent a 4090 over SSH, run nvidia-smi on it, then stop it."

The agent makes a key with ssh-keygen, saves it with add_ssh_key, picks a node with ssh: true, starts it with type: "ssh", runs the command get_rental returns, and stops it.

"Start ComfyUI on a GPU with 24 GB for an hour and give me the link."

The agent calls list_templates, picks a node whose templates has comfyui, starts it with template: "comfyui" and hours: 1, and hands you connection.app_url from get_rental once the app answers, a minute or two after the machine.

As a provider:

"How are my nodes doing? Is any GPU running hot?"

"Take rig-2 off the market for the afternoon, and set rig-1 to $0.60 an hour."

"How much did I earn this week, and from which node?"

Safety

  • create_rental and destroy_rental change 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_rental auto-generates an idempotency key, so a retried call never starts a second GPU.
  • Pass hours so a rental auto-stops even if the agent forgets to.
  • The key's max_active_rentals limit (set in the Console) caps concurrency regardless.
  • The node tools that change something (add_node, set_node_available, set_node_price, update_node, reclaim_spot_node, set_node_access) tell the agent to confirm with you first; reclaim_spot_node stops a renter's spot rental two minutes later.
  • add_node and get_node_install_command return a command with the node's secret token: keep it private.
  • Give the agent a key with only the scopes it needs.

Test

bash
npm installPARALON_API_KEY=prlc_your_key_here node smoke-test.mjs

It calls the read-only tools, and the node tools only on a node that does not exist, so it changes nothing.

Run locally (dev)

bash
PARALON_API_KEY=prlc_your_key_here node server.js

Links

MIT

來源:README.md,提交 ad6a3e1

工具

15

list_gpus

List GPU nodes available to rent right now, with price per hour, GPU model, VRAM, CUDA compute capability, and country. Rent by the returned node_id. Read-only, no cost. For modern LLM work prefer compute_cap >= 8.9 (FP8).

無需輸入參數。

get_balance

Get the account's credit balance (rentals are billed per minute against it). Read-only, no cost.

無需輸入參數。

create_rental

Start renting a GPU. SPENDS CREDITS (per-minute billing) — confirm with the user before calling. Asynchronous: returns a rental_id with status 'pending'. Provisioning + the secure tunnel take ~20-40 seconds. After creating, call get_rental ONCE to fetch the connection URL — it waits internally for startup and returns when ready, so do NOT poll it in a tight loop. DURATION: the rental is open-ended by default (runs until the user stops it with destroy_rental) — use open-ended as the default. When starting one, briefly tell the user it's open-ended and bills per minute until stopped, and that they can set an 'hours' auto-stop cap instead if they prefer; only pass 'hours' when the user asks for a time limit. An idempotency key is generated automatically so accidental repeats don't start a second GPU.

輸入參數nametypehoursnode_id必填

get_rental

Get one rental's status and connection details (Jupyter URL + token). After create_rental, call this to get the URL. It WAITS internally (up to ~24s) for the rental to finish coming up and returns as soon as it's ready — so you usually only need ONE call, at most two. Do NOT call it repeatedly in a tight loop. Provisioning plus the secure tunnel take ~20-40 seconds total; the URL is ready when connection_pending is false. Read-only.

輸入參數rental_id必填

list_rentals

List the account's rentals. By default only active ones (what's running and billing). Pass status='all' for full history. Read-only.

輸入參數status

destroy_rental

Stop a rental — stops the GPU and STOPS BILLING. This is the money brake; safe to call twice. Confirm with the user unless they clearly asked to stop it.

輸入參數rental_id必填

list_my_nodes

PROVIDER: list the GPU nodes this account provides (needs a key with the 'nodes' scope). For each node: state (available, rented, paused, not_verified, not_ready, offline), GPUs and VRAM, price (default, allowed min/max, custom, what a renter pays), verification, reputation, the current rental (never the renter), and live metrics from the last minute: per-GPU load %, temperature °C, power W and VRAM, plus host CPU and memory. Read-only.

無需輸入參數。

get_my_node

PROVIDER: one of the account's nodes, same fields as list_my_nodes (state, price, rental, live GPU metrics). Read-only.

輸入參數node_id必填

add_node

PROVIDER: add a new node to the account and get the docker command that installs the agent on the machine. Confirm the name and type with the user first. The returned command contains the node's secret token: show it only to the user, never paste it anywhere public. The node comes online once the command runs on the machine, then goes through the GPU check. At most 20 nodes an hour per key.

輸入參數osname必填spottypeavailable

get_node_install_command

PROVIDER: the docker command that installs the agent for an existing node (to reinstall or move it). It contains the node's secret token: show it only to the user. Read-only.

輸入參數node_id必填

set_node_available

PROVIDER: take a node off the market (available=false) or put it back (available=true). Off stops new rentals at once; a rental already running goes on to its end. Use it when the owner needs the machine or it is rented on another marketplace. Confirm with the user unless they asked for exactly this.

輸入參數node_id必填available必填

set_node_price

PROVIDER: set a node's price in US dollars per hour for the whole node (what the renter pays; the provider gets it minus the platform fee), or null to go back to the platform default. Must be within the node's price.min and price.max (50% to 300% of the default; see get_my_node). A rental already running keeps its price. Not possible on a spot node. Confirm the new price with the user first.

輸入參數node_id必填price_per_hour必填

update_node

PROVIDER: change several things on a node at once: name, spot (true/false; refused while the node is rented, and turning spot on clears a custom price), available, price_per_hour (USD per hour or null). Send only what changes. Confirm changes with the user first.

輸入參數namespotnode_id必填availableprice_per_hour

reclaim_spot_node

PROVIDER: take a spot node back for the owner's own use ("In use"): rentals and inference go off, and a spot rental running on it STOPS TWO MINUTES LATER (the renter is told). Only for spot nodes. Always confirm with the user first. Put the node back afterwards with set_node_available(true).

輸入參數node_id必填

get_earnings

PROVIDER: the account's earnings in USD by UTC day for the last `days` days (default 30, max 366): rentals per node and inference for the account, after the platform fee; the total; the balance that can be withdrawn now; and what rentals still running have billed so far. Payouts themselves are not available through the API. Read-only.

輸入參數days

版本歷史

2
  1. v1.1.0最新Oct 21, 2026
  2. v1.0.3Oct 11, 2026

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