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Rent cloud GPUs from your agent: live catalogue, deploy, stop, destroy. Per-second billing.
About
Rent cloud GPUs from your agent: live catalogue, deploy, stop, destroy. Per-second billing.
Remote endpoints: streamable-http: https://mcp.computegpu.com/mcp sse: https://mcp.computegpu.com/sse
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
2 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: COMPUTEGPU_API_KEY
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
computegpu
Rent cloud GPUs from your terminal. Deploy in 30 seconds.
npm i -g computegpu
computegpu signup you@company.com my-agent
computegpu deploy --gpu "RTX 4090"
Install
npm i -g computegpu
Requires Node.js 18+.
Quick Start
# Create account
computegpu signup you@company.com my-project
# Browse GPUs
computegpu types
# Deploy
computegpu deploy --gpu "RTX 4090" --models llama3.3
# Check status
computegpu pods
computegpu status POD_ID
# Stop
computegpu stop POD_ID
Commands
| Command | Description |
|---|---|
signup <email> <tenantId> | Create account + get API key |
login --key <KEY> | Save existing API key |
logout | Clear saved key |
me | Show account info |
types | List 47 GPU models with pricing |
cheapest --vram <GB> | Find cheapest GPU for VRAM |
deploy --gpu "RTX 4090" | Deploy on-demand instance |
pods | List active instances |
status <podId> | Instance status + billing |
stop <podId> | Pause (billing stops) |
resume <podId> | Resume paused instance |
destroy <podId> | Permanent destroy |
balance | Wallet balance |
topup <amount> | Request top-up ($1 minimum) |
Deploy Options
computegpu deploy --gpu "RTX 4090" # on-demand
computegpu deploy --gpu "RTX 4090" --spot # 50% off (preemptible)
computegpu deploy --gpu "H100" --count 4 # multi-GPU
computegpu deploy --gpu "RTX 4090" --models llama3.3,gemma4 # pre-load models
computegpu deploy --gpu "RTX 4090" --type docker # Docker + SSH
computegpu deploy --gpu "RTX 4090" --volume 100 # persistent storage
Config
API key is saved to ~/.computegpu/config.json (global) or ./.computegpu/config.json (local).
Priority: --key flag > COMPUTEGPU_API_KEY env > local config > global config.
computegpu login --key gpu_your_key # save globally
computegpu login --key gpu_your_key --local # save per-project
computegpu config # show active config
Pricing
47 GPU models. Per-second billing. $1 minimum top-up.
- Consumer: RTX 3060 ($0.22/hr) to RTX 5090 ($1.24/hr)
- Datacenter: A40 ($0.64/hr) to H200 ($10.76/hr)
- Spot: 50% off (preemptible with 5-min warning)
Links
- Website: computegpu.com
- Docs: computegpu.com/docs
- API: computegpu.com/.well-known/openapi.json
License
Proprietary. Copyright (c) 2026 Tyga.Cloud Ltd. See LICENSE.
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