Lium GPU Cloud

MCP server · PyPI · ★ 7 · graded 2026-10-24Source linked

Rent NVIDIA GPU pods on Lium, run commands on them and remove them, billed per second.

No outside reports on file

Lium GPU Cloud is distributed via PyPI (lium.io); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

Local filesNo local folder access notedLOW
Command executionRuns shell or system commandsREVIEW
Network reachConnects to outside service APINOTED
CredentialsNo API token requiredLOW
Package sourcePyPI (lium.io)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

uvx lium.io

All setup options ↓

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Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: D (from public signals such as stars and downloads, not a code review). Graded 2026-10-24.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Lium GPU Cloud

Lium GPU Cloud is an MCP server focused on Cloud & infrastructure: Rent NVIDIA GPU pods on Lium, run commands on them and remove them, billed per second.

It is published on PyPI as lium.io and hosted on GitHub at Datura-ai/lium (7 GitHub stars, 3,039 PyPI downloads, last repository push on 2026-10-24). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

Check these steps against the project’s own instructions before running anything.

Run the PyPI package lium.io in an isolated environment:

bash

uvx lium.io

See https://github.com/Datura-ai/lium (opens external site) for required environment variables.

Why this grade

DD — High risk signals

Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

35/100

GitHub stars: 7
PyPI downloads: 3k
Listing last refreshed: 2026-10-28

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

Dependency & version pinning: Distributed via PyPI (lium.io). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

Check its activity history or logs weekly at first, and look at what it changed or sent.
Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

It asks for more access than its job requires, or prompts you to paste passwords.
It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install Lium GPU Cloud?

Run uvx lium.io (or pip install lium.io) in your terminal, or add the server entry to your claude_desktop_config.json or .cursor/mcp.json as shown in the Setup section on this page. Full setup docs and environment variables are in github.com/Datura-ai/lium.

Are there security reports about Lium GPU Cloud?

No reports found for this package in our research (last checked 2026-10-30). Lium GPU Cloud currently holds Grade D (High risk signals) based on public adoption and transparency signals. Key risk areas to watch include dependency & version pinning:.

Is Lium GPU Cloud actively maintained?

Lium GPU Cloud has 7 GitHub stars and 3k PyPI downloads, with its latest repository commit pushed on 2026-10-24. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/Datura-ai/lium before pinning it in production.

What are alternatives to Lium GPU Cloud?

Compare Lium GPU Cloud side by side with similar MCP servers in the Related tools section on this page, or browse all MCP servers on AgentArmorHQ.

Maintain or use Lium GPU Cloud? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade D for Lium GPU Cloud

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for Lium GPU Cloud](https://agentarmorhq.com/api/badge/datura-ai-lium)](https://agentarmorhq.com/skills/datura-ai-lium)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/datura-ai-lium"><img src="https://agentarmorhq.com/api/badge/datura-ai-lium" alt="AgentArmorHQ Risk Grade for Lium GPU Cloud" height="20" /></a>

Terminal check:

terminal

curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "datura-ai-lium"

Share with your security lead

Need sign-off to use Lium GPU Cloud? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: Lium GPU Cloud
- **Listing URL:** https://agentarmorhq.com/skills/datura-ai-lium
- **Type:** App connector
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 7 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** Runs shell or system commands
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** PyPI (lium.io)

#### Recommended Hardened Setup
- **Command:** `uvx lium.io`
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: App connector
Publisher: Datura-ai
Source code: github.com/Datura-ai/lium
Install command: pip install lium.io
Est. context load: ~500 tokens / turn (~3 tool schemas, 0.25% of 200k context)
Popularity: 7 GitHub stars, 3k PyPI downloads
Last updated: 2026-10-28
Last graded: 2026-10-24

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