EMT Compute

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

• Connection: Runs in the cloud
• Transport: Streamable HTTP
• Category: Other
• You need to fill in: Authorization

Install

Pick the AI app you use, then copy the settings.

Passed 2/3 checks · What you ask goes through the maker’s server (emtcompute.com)

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"
      }
    }
  }
}

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

What it can do

Tool names and descriptions exactly as the server reported them on Nov 8, 2026. The maker wrote them, not us; we show them as plain text.

• 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. Prefer emt_environments: public templates can be refused when their CUDA is newer than the node's driver.

• 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.

• 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 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.

• 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.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026

• ! Caution

  Maker matches the repo

  The registry lists no source repo, so we cannot match the publisher (emtcompute.com) to the code

• … Not checked yet

  Still maintained

  We have not read this repo from GitHub yet

• … Not checked yet

  Has a licence

  We have not read this repo from GitHub yet

• ✓ Pass

  Endpoint responds

  Responded in 438 ms (HTTP 200)

• – Not applicable

  Sign-in with OAuth

  No sign-in needed

• ✓ Pass

  No hidden instructions in tool descriptions

  Read 22 tool descriptions and found no hidden instructions to the AI

User reviews

No reviews yet

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Compared with others in Otheri

• More stars than 0% of the other 19138 servers in this category
• Published to the registry more recently than 91% of the other 19138 servers in this category
• Basic checks equal to or better than 41% of the other 19138 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

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README from the maker

No README found in the repo