EMT Compute

com.emtcompute由 emtcompute.com 发布官方发布者v1.2.0更新于 Nov 6, 2026

GPU nodes and clusters, custom experiments, AI training and calculation reports for team workspaces.

已验证Streamable HTTP可网页运行云端与基础设施数据与分析AI 与机器学习

概览

AI 生成的概览

EMT Compute 让助手浏览 GPU 报价、获取报价单、租用付费 GPU 节点或集群，并查看工作区中的实验与训练任务。

可以做什么
  • 浏览 GPU 报价、整机节点集群、公共模板，以及带 CUDA 版本和端口的已验证环境
  • 为单卡、集群和实验创建会过期的报价单，并列出科学实验预设
  • 启动付费租用、集群租用和实验，或将任务挂接到已有集群
  • 查看自有订单、实验任务、训练任务、训练配方和带指标的训练事件
  • 读取监控指标与生命周期状态，取消实验并终止租用
适用场景
适合让助手比较 GPU 价格、准备并确认报价，然后在 EMT 工作区租用 GPU 或启动科学计算、训练任务，之后再查看结果与状态。
运行要求
通过 streamable HTTP 连接 emtcompute.com 远程端点。需要 Authorization 头中的 bearer API 密钥，且应在目标 EMT 工作区中创建并只授予必要权限。租用还需余额、已接受的条款和明确的付费授权。个人资料、条款和工作区管理需在 EMT 控制台完成，不能通过 MCP 操作。
安装前请注意
多个工具会产生真实费用：emt_rent、emt_rent_cluster 和 emt_start_experiment 会启动付费租用，自动续租还可能在预算内追加租用时段。应先与用户确认费用，保存启动载荷和幂等键，未确认释放状态前不要认为租用已停止。终止会删除本地磁盘，保留的卷和备份仍会计费。请使用限定范围的密钥，并只提供公钥。

安装

在 SourceWeft 中

  1. 打开 控制台中的 EMT Compute，将其添加到工作区。
  2. 连接 Authorization token 凭据。它们会被私密存储，绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.emtcompute%2Femt-compute/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "emt-compute": {
      "type": "http",
      "url": "https://emtcompute.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

工具

22

emt_catalog

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

输入参数limitmodeloffset

emt_clusters

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

无需输入参数。

emt_templates

Public GPU container templates for ordinary rentals. Prefer emt_environments: public templates can be refused when their CUDA is newer than the node's driver.

无需输入参数。

emt_environments

Verified environments (PyTorch, JAX, vLLM, TensorRT-LLM, ComfyUI, Unsloth) with their CUDA version and ports. Checked against the node before renting; they start an SSH server with the order's key.

无需输入参数。

emt_experiment_presets

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

输入参数id

emt_orders

Owned GPU orders and lifecycle states. Requires read scope.

无需输入参数。

emt_experiment_jobs

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

无需输入参数。

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.

输入参数job必填

emt_training_jobs

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

无需输入参数。

emt_training_job

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

输入参数job必填

emt_training_recipe

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

输入参数job必填

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 not proof of GPU utilization.

输入参数job必填afterlatest

emt_monitor

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

输入参数order必填

emt_quote

Create a fresh expiring GPU quote without renting or charging.

输入参数node必填count必填hours必填

emt_cluster_quote

Quote selected whole nodes on one fabric without renting.

输入参数hours必填nodes必填cluster必填

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.

输入参数fp64nodecountmodelnodesminVrammaxMinutesenvironment

emt_rent

Start a PAID GPU rental with exactly one of environment (verified, from emt_environments: preferred) or template. Requires explicit spending authorization, fresh quote, rent scope, credit and accepted terms. Store payload and key before requesting.

输入参数sshname必填portsquote必填setupvolumebackupsjupytertemplateenvironmentidempotency_key必填confirm_paid_rental必填

emt_rent_cluster

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

输入参数ssh必填name必填quote必填idempotency_key必填confirm_paid_rental必填acknowledgeSlowNetwork

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.

输入参数sshautoname必填runs必填seedfileslevelconfigquotes必填resumeexperiment必填idempotency_key必填另有 1 个

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.

输入参数sshname必填runs必填seedfileslevelconfigexperiment必填maxMinutesclusterOrder必填releaseCluster必填idempotency_key必填

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.

输入参数job必填confirm_stop必填

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.

输入参数order必填confirm_local_data_loss必填

版本历史

4
  1. v1.2.0最新Nov 6, 2026
  2. v1.1.1Nov 5, 2026
  3. v1.1.0Nov 5, 2026
  4. v1.0.0Nov 4, 2026

评分

已满足适用检查项的 83%

该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分

    请声明包含 README 的 GitHub 仓库，或在 OAuth 受保护资源元数据中提供 resource_documentation。

  • 许可证不适用

    托管服务按其提供方的条款使用，因此这里不要求许可证。此检查项不计入百分比。