# paraloncloud-rentals

> paraloncloud-rentals — paraloncloud-mcp-rentals. Use this tool when you need to access high-performance computing resources, such as renting GPUs for intensive workloads or projects. It solves problems like limited computational capacity and enables efficient management of GPU rentals through natural language inputs, providing outputs like connection URLs and rental status. Ideal for use cases requiring flexible and scalable computing power, such as data science, machine learning, or graphics rendering.

Canonical page: https://skillsregistry.net/skills/paraloncloud-mcp-rentals  
JSON: https://api.skillsregistry.net/v1/skills/paraloncloud-mcp-rentals

## Description

Enables MCP clients to rent GPUs from ParalonCloud using natural language, including browsing available GPUs, starting and stopping rentals, and retrieving connection URLs.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xwkb25xr4n)
- **Repository:** <https://github.com/ParalonCloud/mcp-rentals>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "paraloncloud-mcp-rentals"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paraloncloud-mcp-rentals` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paraloncloud-mcp-rentals/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt