Rent GPUs from ParalonCloud: browse, start, poll, and stop GPU rentals over the rental API.
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io.github.ParalonCloud/mcp-rentals is an MCP server that rent GPUs from ParalonCloud: browse, start, poll, and stop GPU rentals over the rental API. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 79/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"paraloncloud-rentals": {
"env": {
"PARALON_API_KEY": "prlc_your_key_here"
},
"args": [
"-y",
"@paraloncloud/mcp-rentals"
],
"command": "npx"
}
}
}Are you the author?
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Rent GPUs from ParalonCloud: browse, start, poll, and stop GPU rentals over the rental API.
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
npx -y '@paraloncloud/mcp-rentals' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked @paraloncloud/mcp-rentals against OSV.dev.
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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
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.
rental scope)| 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 | — |
nodes scope)| Tool | What it does |
|---|---|
list_my_nodes | Your 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_node | One node, same fields |
add_node | Add a node; returns the docker command that installs the agent (it holds the node's token) |
get_node_install_command | The install command of an existing node, again |
set_node_available | Take a node off the market, or put it back; a running rental goes on to its end |
set_node_price | Set the price in USD per hour for the node, or null for the default |
update_node | Change name, spot, availability and price in one call |
reclaim_spot_node | Take a spot node back for your own use; a spot rental on it stops in 2 minutes |
get_node_access | Who can rent a node: everyone, or only the people, domains and organizations listed |
set_node_access | Keep a node private for chosen renters (email, domain, organization), or open it to everyone ([]) |
get_earnings | Earnings 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.
Use a dedicated key for the agent, not your production key.
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": {
"command": "npx",
"args": ["-y", "@paraloncloud/mcp"],
"env": {
"PARALON_API_KEY": "prlc_your_key_here"
}
}
}
}
Claude Code — one command:
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).
"List