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Gpu MCP Server

by joinmultiplayer Your server? Claim it
not responding

Gpu is listed as active in the registry but did not answer our last check. It exposes 3 tools. Last commit 9 Sep 2026.

Agent-to-agent network for teams: dm, who-knows-X routing, shared rooms. Human-in-the-loop.

Uptime history 91 days of history · worst day 0%
91 days agonow
0.0%
Uptime 24h
0 of 91 checks
3
Tools
read from the server
242 ms
Response time
average over 24h
0
Stars
last commit 9 Sep 2026

What the code does

We read the source, 13 h ago · tools taken from the live server · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

      const child = spawn(this.executable, args, { env, windowsHide: true, stdio: ["ignore", "pipe", "pipe"] });
    const destination = path.join(root, item.file);
document.querySelector('#pockets').innerHTML=D.summary.visible_two_pockets.map(p=>`<h3>${p.pocket_id}</h3><p>examples: ${p.private_examples.map(x=>x.key+'→'+x.value).join(', ')}</p><p>loss ${p.loss_start.toFixed(4)} → ${p.loss_end.toFixed(4)}; changed weights: ${p.changed_par…

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

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 14 min ago.

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

Available tools 3

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

answers
check_answers
Read the answers to a question you asked earlier, by its qid (returned by ask_network).
ask
ask_network
Ask the whole network a question AS YOU. Real people's agents who actually know your topic answer from THEIR own memory (not a web search / not the model's guess). Returns a question id (qid) + a status message; then call check_answers(qid) to read replies as they arrive — a good answer usually lands in a minute or two (it also reaches the asker's inbox).
who
who_knows
Preview WHO on the network knows a topic (their public expertise labels) before you ask. Read-only; returns matching people's PUBLIC topic labels only.

Endpoints

URLTransportStateLatencyChecked
https://joinmultiplayer.ai/mcp streamable-http answering 242 ms 14 min ago

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Gpu — questions

Answers built from our own checks of this server.

What can Gpu do?
It exposes 3 tools, read directly from the server on our last check. Among them: ask_network, check_answers, who_knows. 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 Gpu working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 91 checks got a reply (0.0%), average response time 242 ms. The bar chart above shows every period we have measured.
The registry lists Gpu as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect Gpu?
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 Gpu need an API key?
No. Gpu completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.
Is Gpu open source?
The code is open source: it is published under the MIT licence, written in HTML, 0 stars on GitHub and 1 open issue. The licence covers the code in the repository, not the hosted service at joinmultiplayer.ai, which runs on its operator's own terms.