EMT Compute

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 其他
• 你需要填写：Authorization

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

claude mcp add --transport http emt-compute https://emtcompute.com/mcp --header 'Authorization: your-value'

{
  "mcpServers": {
    "emt-compute": {
      "url": "https://emtcompute.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

{
  "servers": {
    "emt-compute": {
      "type": "http",
      "url": "https://emtcompute.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

• Authorization 机密 必填 HTTP header
  Bearer API key created in the intended EMT workspace, with only the required scopes

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• emt_catalog

  Current GPU offers. Prices in EUR micro-units per GPU/hour; unknown metrics remain null. Paginated to keep responses small.

• emt_clusters

  Current whole-node cluster offers; fabric declarations do not establish independent EMT qualification.

• emt_templates

  Public GPU container templates for ordinary rentals.

• emt_experiment_presets

  List scientific presets or inspect one preset's parameters, equations, methods and custom-input schema. Does not run a calculation.

• emt_orders

  Owned GPU orders and lifecycle states. Requires read scope.

• emt_experiment_jobs

  Owned experiment jobs, including reports and release state. Requires read scope.

• emt_experiment_job

  Inspect an owned experiment and its authenticated result, output and calculation-report download links. Files are not sent into the model context.

• emt_training_jobs

  List owned AI training jobs. Requires read scope; does not start training or rent GPUs.

• emt_training_job

  Inspect an owned training job, its settings, lifecycle and recorded outcome.

• emt_training_recipe

  Read the reproducible recipe for an owned training job, including model, dataset and training settings.

• emt_training_events

  Read up to 100 training events with metrics, runtime and observed dataset hashes when recorded. For full history start after=0 and latest=false, then repeat with the greatest returned seq until an empty page. latest=true returns the most recent window only. Visible devices are no

• emt_monitor

  Metrics and lifecycle for an owned order. Missing telemetry is unknown.

• emt_quote

  Create a fresh expiring GPU quote without renting or charging.

• emt_cluster_quote

  Quote selected whole nodes on one fabric without renting.

• emt_experiment_quote

  Quote 1–4 nodes for an experiment; hours × hourly gives the GPU rental ceiling in micro-EUR. Reserve is only an initial hold, not total cost.

• emt_rent

  Start a PAID GPU rental. Requires explicit spending authorization, fresh quote, rent scope, credit and accepted terms. Store payload and key before requesting.

• emt_rent_cluster

  Start a PAID whole-node cluster rental. Public SSH key only. Confirm cost and fabric limits with the user first.

• emt_start_experiment

  Start a PAID scientific preset, customer script or command. Parameter sets distribute across quoted nodes; this does not automatically parallelize a single solver. Auto-continuation may rent additional segments up to its budget. Review all costs before confirming.

• emt_attach_cluster_experiment

  Attach work to an already rented dedicated 2–4-node cluster. Does NOT start SSH remotely: run emt_cluster.py locally with the returned job ID and your private key. Whole cluster stops on completion/cancel; billing continues during preparation.

• emt_cancel_experiment

  Cancel an owned experiment and request release of all its GPU nodes or attached cluster. Unfinished work can be lost. Recheck releasing until false.

• emt_terminate

  Terminate every node in an owned rental. Local disks are deleted; retained volumes and backups remain billed. Inspect status until release is confirmed.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（emtcompute.com）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 499 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 21 个工具描述，未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

• 星标数多于此分类中其他 32602 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 32602 个服务器的 97% 更新
• 基础检查结果等于或优于此分类中其他 32602 个服务器的 37%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

仓库中没有找到 README