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io.github.jyswee/computegpu

Official registry Cloud and DevOps

Rent cloud GPUs from your agent: live catalogue, deploy, stop, destroy. Per-second billing.

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http computegpu 'https://mcp.computegpu.com/mcp' --header 'Authorization: <Bearer gpu_... API key. Optional: without one the session starts in onboarding mode and computegpu_signup creates an account.>'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "computegpu": {
            "type": "http",
            "url": "https://mcp.computegpu.com/mcp",
            "headers": {
                "Authorization": "<Bearer gpu_... API key. Optional: without one the session starts in onboarding mode and computegpu_signup creates an account.>"
            }
        }
    }
}
Remote (sse)
Claude Code 
claude mcp add --transport sse computegpu 'https://mcp.computegpu.com/sse' --header 'Authorization: <Bearer gpu_... API key. Optional: without one the session starts in onboarding mode.>'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "computegpu": {
            "type": "sse",
            "url": "https://mcp.computegpu.com/sse",
            "headers": {
                "Authorization": "<Bearer gpu_... API key. Optional: without one the session starts in onboarding mode.>"
            }
        }
    }
}
NPM package computegpu
Claude Code 
claude mcp add computegpu -e 'COMPUTEGPU_API_KEY=<your computegpu_api_key>' -- npx -y computegpu@1.2.1
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "computegpu": {
            "command": "npx",
            "args": [
                "-y",
                "computegpu@1.2.1"
            ],
            "env": {
                "COMPUTEGPU_API_KEY": "<your computegpu_api_key>"
            }
        }
    }
}

Environment variables

  • COMPUTEGPU_API_KEY required secret ComputeGpu API key (gpu_...). Get one with `npx computegpu signup you@example.com my-agent`; the owner verifies a card ($0, no charge) before the first deploy.

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. computegpu
  2. Install
  3. Quick Start
  4. Commands
  5. Deploy Options
  6. Config
  7. Pricing
  8. Links
  9. License

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

CommandDescription
signup <email> <tenantId>Create account + get API key
login --key <KEY>Save existing API key
logoutClear saved key
meShow account info
typesList 47 GPU models with pricing
cheapest --vram <GB>Find cheapest GPU for VRAM
deploy --gpu "RTX 4090"Deploy on-demand instance
podsList active instances
status <podId>Instance status + billing
stop <podId>Pause (billing stops)
resume <podId>Resume paused instance
destroy <podId>Permanent destroy
balanceWallet 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)

License

Proprietary. Copyright (c) 2026 Tyga.Cloud Ltd. See LICENSE.

Frequently asked questions

What is io.github.jyswee/computegpu?

Rent cloud GPUs from your agent: live catalogue, deploy, stop, destroy. Per-second billing.

How do I install io.github.jyswee/computegpu?

It runs as a remote server. In Claude Code: claude mcp add --transport http computegpu 'https://mcp.computegpu.com/mcp' --header 'Authorization: <Bearer gpu_... API key. Optional: without one the session starts in onboarding mode and computegpu_signup creates an account.>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.jyswee/computegpu need an API key?

Yes. It expects COMPUTEGPU_API_KEY, Authorization, which you set in its configuration.

Is io.github.jyswee/computegpu open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains io.github.jyswee/computegpu?

It is published by jyswee. AI.tn lists it but does not maintain or endorse it.

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