com.emtcompute/emt-compute
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Publisher-provided title
EMT Compute
Publisher-provided description
GPU nodes and clusters, custom experiments, AI training and calculation reports for team workspaces.
Summary by lookupd
Rents GPU nodes and clusters, runs experiments and training jobs, and retrieves metrics and calculation reports for owned orders.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http emt-compute https://emtcompute.com/mcp
Codex, remote (streamable-http)
codex mcp add emt-compute --url https://emtcompute.com/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"emt-compute": {
"url": "https://emtcompute.com/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (22 tools)
Publisher-provided text
emt_catalogCurrent GPU offers. Prices in EUR micro-units per GPU/hour; unknown metrics remain null. Paginated to keep responses small.emt_clustersCurrent whole-node cluster offers; fabric declarations do not establish independent EMT qualification.emt_templatesPublic 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_environmentsVerified environments (PyTorch, JAX, vLLM, TensorRT-LLM, ComfyUI, Unsloth) with their CUDA version and ports. Checked against the node before renting; they staremt_experiment_presetsList scientific presets or inspect one preset's parameters, equations, methods and custom-input schema. Does not run a calculation.emt_ordersOwned GPU orders and lifecycle states. Requires read scope.emt_experiment_jobsOwned experiment jobs, including reports and release state. Requires read scope.emt_experiment_jobInspect an owned experiment and its authenticated result, output and calculation-report download links. Files are not sent into the model context.emt_training_jobsList owned AI training jobs. Requires read scope; does not start training or rent GPUs.emt_training_jobInspect an owned training job, its settings, lifecycle and recorded outcome.emt_training_recipeRead the reproducible recipe for an owned training job, including model, dataset and training settings.emt_training_eventsRead 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 witemt_monitorMetrics and lifecycle for an owned order. Missing telemetry is unknown.emt_quoteCreate a fresh expiring GPU quote without renting or charging.emt_cluster_quoteQuote selected whole nodes on one fabric without renting.emt_experiment_quoteQuote 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_rentStart a PAID GPU rental with exactly one of environment (verified, from emt_environments: preferred) or template. Requires explicit spending authorization, fresemt_rent_clusterStart a PAID whole-node cluster rental. Public SSH key only. Confirm cost and fabric limits with the user first.emt_start_experimentStart a PAID scientific preset, customer script or command. Parameter sets distribute across quoted nodes; this does not automatically parallelize a single solvemt_attach_cluster_experimentAttach 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 kemt_cancel_experimentCancel an owned experiment and request release of all its GPU nodes or attached cluster. Unfinished work can be lost. Recheck releasing until false.emt_terminateTerminate every node in an owned rental. Local disks are deleted; retained volumes and backups remain billed. Inspect status until release is confirmed.
Details
- Version: 1.2.1
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 1058 ms
- First indexed:
- Last seen in registry:
- Website: https://emtcompute.com/integrations
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