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AmpleRun GPU rentals MCP Server

answering

AmpleRun GPU rentals is answering right now. Last checked 53 min ago. 71 installs a week from npm. It exposes 2 tools.

Find, price, rent and stop GPUs on AmpleRun. Paid in USDC or USDT on Base. Flat 5% fee.

Installs per day peak 17 · avg 8 · -3% w/w
a month agotoday
Uptime history 39 days of history · worst day 0%
39 days agonow
91.7%
Uptime 24h
22 of 24 checks
2
Tools
read from the server
202 ms
Response time
average over 24h
71
Installs / week
npm and PyPI

AmpleRun GPU rentals does not always answer

Over the last week it answered 6.4% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 53 min ago.

run in your terminal
claude mcp add gpu-rentals --transport http https://amplerun.com/api/mcp
Settings → Connectors → Add custom connector, then paste this address
https://amplerun.com/api/mcp
~/.codex/config.toml
[mcp_servers.gpu-rentals]
url = "https://amplerun.com/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "gpu-rentals": {
      "url": "https://amplerun.com/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "gpu-rentals": {
      "type": "http",
      "url": "https://amplerun.com/api/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

agent
get_agent_account_challenge
Step 1 of 2. Returns an EIP-4361 (Sign-In with Ethereum) message for a wallet address this agent controls, valid five minutes, single use. Signing it accepts the AmpleRun Terms version it names. Sign the message exactly as returned with personal_sign (EIP-191), then call register_agent_account with message and signature. Never send a private key to any tool.
register
register_agent_account
Step 2 of 2. Opens an AmpleRun account for this AI agent, tagged as agent-created, with its wallet as the verified payout wallet, and returns an API key (shown once; keep it secret). The same wallet again returns the same account and a new key. There is no free credit: renting needs a deposit first. Pass message and signature from get_agent_account_challenge. scopes defaults to ["renter"]; add "host" to host machines.

Endpoints

URLTransportStateLatencyChecked
https://amplerun.com/api/mcp streamable-http answering 96 ms 53 min ago

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AmpleRun GPU rentals — questions

Answers built from our own checks of this server.

What can AmpleRun GPU rentals do?
It exposes 2 tools, read directly from the server on our last check. Among them: get_agent_account_challenge, register_agent_account. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is AmpleRun GPU rentals working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 22 of 24 checks got a reply (91.7%), average response time 202 ms. The bar chart above shows every period we have measured.
How do I connect AmpleRun GPU rentals?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AmpleRun GPU rentals need an API key?
No. AmpleRun GPU rentals completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AmpleRun GPU rentals?
It answers our handshake in 202 ms on average, which is faster than 68% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use AmpleRun GPU rentals?
The npm package @amplerun/mcp was installed 71 times in the last week. Week over week that is -3%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.