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Agiscorecard Web3 Compute MCP Server

answering

Agiscorecard Web3 Compute is answering right now. Last checked 6 min ago. It exposes 3 tools. Last commit 24 Oct 2026.

Compare GPU workload costs per accepted output, including setup, storage, egress and failed work.

Uptime history 16 days of history
16 days agonow
100.0%
Uptime 24h
91 of 91 checks
3
Tools
read from the server
207 ms
Response time
average over 24h
0
Stars
last commit 24 Oct 2026

What the code does

We read the source, 2 h ago · tools taken from the live server · rules 995398eba69f

A tool parameter reaches a dangerous call

A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.

A tool parameter reaches a dangerous call get_sunwatch_track_record.url → .claude/skills/video-clip-pipeline/scored_pipeline.py:238, get_sunwatch_track_record.url → .claude/skills/video-clip-pipeline/scored_pipeline.py:84, get_sunwatch_track_record.url → sites/agiscorecard/tools/jarvis/browser-test.mjs:11 и ещё 4
        title_result = subprocess.run(
Evidence

Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.

Runs commands and hides how tools/marketing/eco-laundry-03/render.py:15
…te=sf.read(raw);factor=max(1,len(samples)/rate/(b-a-.25));assert factor<1.35,(i,factor);fitted=OUT/f'voice-fit-{i}.wav';subprocess.run(['ffmpeg','-v','error','-y','-i',str(raw),'-af',f'atempo={factor:.6f}','-ar',str(sr),str(fitted)],check=True);samples,_=sf.read(fitted);start=int…
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.

 assert.match(r.findings[2].text,/description(可能截断;发布者自述,未独立核验)/);assert.ok(!r.evidence.some(x=>x.field==='stars'));assert.doesNotMatch(r.nextActions[0].action,/steal|perfect/);
        result = subprocess.run(cmd, shell=True, capture_output=True, text=True, check=check)
…入记录;选择本身不会改动已有计划。')}</p>${fitQuestions.map(q=>`<label class="field">${q.label[lang]}<select id="commercial-${q.id}"><option value="unknown">${t('Not established','尚未明确')}</option><option value="yes">${t('Yes','是')}</option><option valu…
 return spawnSync(process.execPath,['--input-type=module','--eval',command],{encoding:'utf8',timeout:10000});
  document.getElementById("concepts").innerHTML = DATA.concepts.map((c, i) => `
Reads files and sends them to the network .claude/skills/podcast-ops/podcast_pipeline.py:791
    for ep_dir in sorted(episodes_dir.iterdir()):

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

A tool parameter here reaches a dangerous call

That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.

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 6 min ago.

run in your terminal
claude mcp add agiscorecard-web3-compute --transport http https://compute.agiscorecard.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://compute.agiscorecard.com/mcp
~/.codex/config.toml
[mcp_servers.agiscorecard-web3-compute]
url = "https://compute.agiscorecard.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "agiscorecard-web3-compute": {
      "url": "https://compute.agiscorecard.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "agiscorecard-web3-compute": {
      "type": "http",
      "url": "https://compute.agiscorecard.com/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.

compare
compare_compute_costs
Compute Lens compares measured workload runs using total entered compute, setup, storage and egress costs per accepted output. It filters mismatched workload labels, currencies, quality and memory limits. All examples are fictional; no live GPU quotes are supplied. No live GPU inventory, automatic benchmarking, reservation, infrastructure management or verified savings. Retrieve compute with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.
fetch
fetch
Retrieve a public tool reference by the ID returned from search. Contains methodology, limits, official source links and fictional worked examples; no user records. Cite the returned canonical URL.
search
search
Search this server’s public AI/Web3 tools and citation pages. English and Chinese names supported. Empty query lists the available worksheets.

Endpoints

URLTransportStateLatencyChecked
https://compute.agiscorecard.com/mcp streamable-http answering 101 ms 6 min ago

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Agiscorecard Web3 Compute — questions

Answers built from our own checks of this server.

What can Agiscorecard Web3 Compute do?
It exposes 3 tools, read directly from the server on our last check. Among them: compare_compute_costs, fetch, search. 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 Agiscorecard Web3 Compute working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 207 ms. The bar chart above shows every period we have measured.
How do I connect Agiscorecard Web3 Compute?
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 Agiscorecard Web3 Compute need an API key?
No. Agiscorecard Web3 Compute 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.
How fast is Agiscorecard Web3 Compute?
It answers our handshake in 207 ms on average, which is faster than 77% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Agiscorecard Web3 Compute open source?
We cannot say either way: written in HTML and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.