SERVER

Computegpu CLI

Rank #101,047

io.github.jyswee/computegpu

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

1 version

1 GitHub stars

by jyswee (23 servers)View repository ↗

Listed & last published

Oct 16, 2026

PURPOSE

What you can do with Computegpu CLI

Computegpu CLI is a Model Context Protocol (MCP) server published by jyswee. It ranks #101,047 of 167,945 active servers on MCP Toplist, and its repository has 1 GitHub stars. Computegpu CLI is listed on Official MCP, with 1 tracked version. It was first listed on Oct 16, 2026 and most recently updated on Oct 16, 2026.

Not verifiedMCP Toplist has not yet written a checked profile for this server, so the paragraph above is assembled from registry data only. The repository README is the authority on what it does.

CAPABILITIES AND LIMITATIONS

What Computegpu CLI can and cannot do

Not verifiedMCP Toplist has not catalogued this server's tools or limitations. The repository README lists them.

REQUIREMENTS

What you need before using Computegpu CLI

DeclaredNo credentialsNo credentials declared

The registry listing declares no required environment variables or authentication. This is declared metadata, not a verified install — the repository README is the authority.

MCP Toplist probed the public endpoint on Nov 2, 2026 and could not complete the MCP handshake (jsonrpc error). Requirements remain unverified.

Declared by the Official MCP Registry, last synced Nov 3, 2026. Not independently verified by MCP Toplist.

Declared in the registry install config

COMPUTEGPU_API_KEY · required

2 hosted endpoints declared as public.

INSTALLATION AND FIRST TASK

Connect Computegpu CLI and confirm it works

Remote · HTTP

claude mcp add --transport http computegpu https://mcp.computegpu.com/mcp

Remote · SSE

claude mcp add --transport http computegpu https://mcp.computegpu.com/sse

npm package

claude mcp add computegpu -e "COMPUTEGPU_API_KEY=<your COMPUTEGPU_API_KEY>" -- npx -y mcp-serve computegpu

Replace each placeholder with your own value before saving.

Remote · HTTP

[mcp_servers.computegpu]
url = "https://mcp.computegpu.com/mcp"

Add to ~/.codex/config.toml.

Remote · SSE

[mcp_servers.computegpu]
url = "https://mcp.computegpu.com/sse"

Add to ~/.codex/config.toml.

npm package

[mcp_servers.computegpu]
command = "npx"
args = ["-y", "mcp-serve", "computegpu"]

[mcp_servers.computegpu.env]
COMPUTEGPU_API_KEY = "<your COMPUTEGPU_API_KEY>"

Add to ~/.codex/config.toml. Replace each placeholder with your own value before saving.

Remote · HTTP

https://mcp.computegpu.com/mcp

Settings → Connectors → “Add custom connector”, then paste this URL.

Remote · SSE

https://mcp.computegpu.com/sse

Settings → Connectors → “Add custom connector”, then paste this URL.

npm package

{
  "mcpServers": {
    "computegpu": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-serve",
        "computegpu"
      ],
      "env": {
        "COMPUTEGPU_API_KEY": "<your COMPUTEGPU_API_KEY>"
      }
    }
  }
}

Add to claude_desktop_config.json (Settings → Developer → Edit Config). Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "computegpu": {
      "url": "https://mcp.computegpu.com/mcp"
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project).

Remote · SSE

{
  "mcpServers": {
    "computegpu": {
      "url": "https://mcp.computegpu.com/sse"
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project).

npm package

{
  "mcpServers": {
    "computegpu": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-serve",
        "computegpu"
      ],
      "env": {
        "COMPUTEGPU_API_KEY": "<your COMPUTEGPU_API_KEY>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "servers": {
    "computegpu": {
      "type": "http",
      "url": "https://mcp.computegpu.com/mcp"
    }
  }
}

Save as .vscode/mcp.json in your workspace.

Remote · SSE

{
  "servers": {
    "computegpu": {
      "type": "http",
      "url": "https://mcp.computegpu.com/sse"
    }
  }
}

Save as .vscode/mcp.json in your workspace.

npm package

{
  "servers": {
    "computegpu": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-serve",
        "computegpu"
      ],
      "env": {
        "COMPUTEGPU_API_KEY": "<your COMPUTEGPU_API_KEY>"
      }
    }
  }
}

Save as .vscode/mcp.json in your workspace. Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "computegpu": {
      "serverUrl": "https://mcp.computegpu.com/mcp"
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json.

Remote · SSE

{
  "mcpServers": {
    "computegpu": {
      "serverUrl": "https://mcp.computegpu.com/sse"
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json.

npm package

{
  "mcpServers": {
    "computegpu": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-serve",
        "computegpu"
      ],
      "env": {
        "COMPUTEGPU_API_KEY": "<your COMPUTEGPU_API_KEY>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "computegpu": {
      "url": "https://mcp.computegpu.com/mcp"
    }
  }
}

Remote · SSE

{
  "mcpServers": {
    "computegpu": {
      "url": "https://mcp.computegpu.com/sse"
    }
  }
}

npm package

{
  "mcpServers": {
    "computegpu": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-serve",
        "computegpu"
      ],
      "env": {
        "COMPUTEGPU_API_KEY": "<your COMPUTEGPU_API_KEY>"
      }
    }
  }
}

Replace each placeholder with your own value before saving.

First successful task

After adding the config, ask your client to list this server's tools. A tool list confirms the connection; an empty list or an error means the server did not start or needs credentials.

ALTERNATIVES

When to choose another server

Other servers by jyswee

View all jyswee servers →

No task-specific alternatives are catalogued for Computegpu CLIyet; the list above is its publisher's other servers.

MAINTENANCE AND EVIDENCE

What changed, and when this was checked

First listed: Oct 16, 2026
Latest version published: Oct 16, 2026
Version history: 1 version tracked (below)
Requirements evidence: MCP Toplist probed the public endpoint on Nov 2, 2026 and could not complete the MCP handshake (jsonrpc error). Requirements remain unverified.
Profile checked: Not yet — purpose, capabilities and requirements above come from registry data only
Ranking data as of: Oct 16, 2026

Registry sightings

Official MCP ↗listed since Oct 17, 2026 · still listed

Do you maintain Computegpu CLI? to correct or enrich this profile.

VERSIONS

Available versions (1)

Version	Published
1.2.1	Oct 16, 2026

STANDING

#101,047of 167,945 active servers

Ranks ahead of 66,898 of 167,945 servers on MCP Toplist.

BADGE

Show your rank

Maintain this server? Add the live rank badge to your README — it updates automatically as the leaderboard changes.

Markdown

[![MCP Toplist](https://mcptoplist.com/badge/io.github.jyswee%2Fcomputegpu.svg)](https://mcptoplist.com/server/io.github.jyswee%2Fcomputegpu)

HTML

<a href="https://mcptoplist.com/server/io.github.jyswee%2Fcomputegpu"><img src="https://mcptoplist.com/badge/io.github.jyswee%2Fcomputegpu.svg" alt="MCP Toplist: #101,047 of 167,945" /></a>

Variants: append ?metric=score or ?metric=stars to the image URL.

FAQ

Frequently asked questions

Who maintains Computegpu CLI?: Computegpu CLI is maintained by jyswee, which publishes 23 MCP servers (91 total versions) tracked on MCP Toplist.
Is Computegpu CLI listed on the Official MCP Registry?: Yes — Computegpu CLI is listed on the Official MCP Registry.
How many versions does Computegpu CLI have?: MCP Toplist tracks 1 version of Computegpu CLI, most recently published on Oct 16, 2026.
Where can I find the source code for Computegpu CLI?: The source code for Computegpu CLI is hosted at github.com/jyswee/computegpu-cli.

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