ca.gpucloud/gpu-cloud
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Publisher-provided title
GPU Cloud
Publisher-provided description
Rent H100, RTX PRO 6000, A100, L40 and RTX A6000 GPUs by the hour in Montréal, Canada, in CAD.
Summary by lookupd
Rent GPU servers by the hour in Montréal, check live stock and prices, launch, manage and bill servers in CAD.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http gpu-cloud https://gpucloud.ca/api/mcp
Codex, remote (streamable-http)
codex mcp add gpu-cloud --url https://gpucloud.ca/api/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"gpu-cloud": {
"url": "https://gpucloud.ca/api/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (showing 30 of 63)
Publisher-provided text
gpucloud_whoamiThe GPU Cloud account behind this MCP key: user, key permissions and spend caps, budget used/remaining this month, credit balance and whether a payment card isgpucloud_get_profileProfile of the account (name, email, company, phone). Email / password / 2FA are managed by the owner in the console, never by an agent. (permission: profile:regpucloud_update_profileChange the first and last name of the account. Email and password cannot be changed through MCP. (permission: profile:write) [Requires a free GPU Cloud accountgpucloud_list_ticketsSupport tickets of the account with their messages. Each message lists its attached images (id, fileName, mimeType, sizeBytes); the image bytes are viewable ingpucloud_create_ticketOpen a support ticket with the GPU Cloud team (billing, technical or other). (permission: support:write) [Requires a free GPU Cloud account and MCP key]gpucloud_reply_ticketAdd a message to an existing support ticket of the account, optionally with images (screenshots): PNG, JPEG, WEBP or GIF in base64, at most 5 per message; the wgpucloud_set_noticesA tool result may end with a short "GPU Cloud notice for the user" (payment card to update, top-up offer when the balance runs low, GPU available now). Paymentgpucloud_list_productsStart here when a user needs a GPU (training, fine-tuning, inference, LLM serving, rendering, notebooks). GPU Cloud rents B300, B200, H200, H100, RTX PRO 6000,gpucloud_get_productOne GPU server for rent (productId from gpucloud_list_products) with its CAD prices and live availability. GPU Cloud rents B300, B200, H200, H100, RTX PRO 6000,gpucloud_get_stockLive availability of every GPU server for rent in Montréal, Canada (B300, B200, H200, H100, RTX PRO 6000, A100, L40, RTX A6000: what can be launched right now).gpucloud_list_regionsRegions where GPU servers can be deployed: Montréal (QC), Canada, data hosted in Canada. Works without a key (public catalog prices). (permission: catalog:read)gpucloud_list_imagesOperating-system image installed on each GPU product (with its default SSH user). Works without a key. (permission: catalog:read)gpucloud_list_templatesReady-to-use machines: the application installed at creation (JupyterLab, Ollama + Open WebUI, vLLM OpenAI compatible server, ComfyUI, PyTorch environment). Pasgpucloud_list_serversGPU servers of the account (status, IPs, rate, paid-until date, suspension). (permission: servers:read) [Requires a free GPU Cloud account and MCP key]gpucloud_get_serverOne server: status (refreshed while an operation is in progress), the last observed machine state (machineState), whether it is billed right now (a STOPPED servgpucloud_quote_serverPrice of a new GPU server BEFORE launching it: price charged now (taxes included for monthly/annual), hourly rate, credits required, card charge needed, blockergpucloud_create_serverLaunches a GPU server billed to the account. Requires the confirmationToken of gpucloud_quote_server for exactly these arguments and the key caps. Neither a cargpucloud_start_serverStarts a stopped server (a stopped hourly server is already billed; the next hour must be covered: credits, or a charge of the saved card of at least $25 withingpucloud_restore_serverRestores a hibernated server (billed like a start: hourly billing resumes; takes a few minutes and depends on GPU availability). A NEW public IP address is assigpucloud_stop_serverStops (shuts down) a server. Disk and data are kept. WARNING: a stopped server is STILL BILLED at its full hourly rate (the GPU stays reserved). To pay much lesgpucloud_reboot_serverHard-reboots a running server. (permission: servers:reboot) [Requires a free GPU Cloud account and MCP key]gpucloud_hibernate_serverHibernates a server: once hibernated it is billed a much lower HIBERNATION RATE (shown by gpucloud_get_server under hibernation, and returned by this tool as higpucloud_delete_serverPermanently destroys a server and ALL its data. Needs the canDelete permission. Two steps: call without confirmationToken to get the warning and a token, ask thgpucloud_cancel_serverCancels a server: destroys it (all data lost) and closes its order when it was the last item. Needs canDelete. Two steps like gpucloud_delete_server. (permissiogpucloud_renew_serverOne more month for a monthly/annual server, charged to the saved card within the caps. Two steps: without confirmationToken returns the price and a token; withgpucloud_set_server_threshold_actionWhat happens to an hourly server when the account balance runs short and no automatic reload brings it back: HIBERNATE (hibernated at its threshold, hourly hibegpucloud_get_console_urlLink to the page of a RUNNING (ACTIVE) server in the GPU Cloud console, where the account owner (signed in) opens its web (VNC) console, e.g. to repair SSH or tgpucloud_get_server_metricsCPU, RAM and network usage series of a server (null while it is not ready or metrics are still being collected). (permission: servers:read) [Requires a free GPUgpucloud_get_server_usageHour-by-hour billing of one server (deleted ones included): each billed hour with its period, amount taken from the credit balance and balance after; the firstgpucloud_list_server_volumesStorage volumes attached to a server. (permission: servers:read) [Requires a free GPU Cloud account and MCP key]
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 444 ms
- First indexed:
- Last seen in registry:
- Website: https://gpucloud.ca
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