lab-instrument-mcps

MCP server · PyPI · ★ 23 · graded 2026-10-24Source linked

Open-source MCP servers that let AI agents operate real lab instruments, with safety limits, read-only modes, audit trails, and a simulator for every instrument.

No outside reports on file

lab-instrument-mcps is distributed via PyPI (labmcp-alicat); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee.

Was this verdict for Lab Instrument Mcps helpful?

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 (labmcp-alicat)PUBLIC

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

Install

uvx labmcp-alicat

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: C (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 Lab Instrument Mcps

Lab Instrument Mcps is an MCP server focused on Cloud & infrastructure: Open-source MCP servers that let AI agents operate real lab instruments, with safety limits, read-only modes, review trails, and a simulator for every instrument.

It is published on PyPI as labmcp-alicat and hosted on GitHub at K-Dense-AI/lab-instrument-mcps (21 GitHub stars, 251 PyPI downloads). 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 labmcp-alicat in an isolated environment:

bash

uvx labmcp-alicat

See https://github.com/K-Dense-AI/lab-instrument-mcps (opens external site) for required environment variables.

Why this grade

CC — Moderate risk signals

Signal-based grade (2/7 points): listed in several sources, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

36/100

GitHub stars: 23
PyPI downloads: 251
Listing last refreshed: 2026-10-29

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 (labmcp-alicat). 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 Lab Instrument Mcps?

Run uvx labmcp-alicat (or pip install labmcp-alicat) 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/K-Dense-AI/lab-instrument-mcps.

Are there security reports about Lab Instrument Mcps?

No reports found for this package in our research (last checked 2026-10-30). Lab Instrument Mcps currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include dependency & version pinning:.

Is Lab Instrument Mcps actively maintained?

Lab Instrument Mcps has 23 GitHub stars and 251 PyPI downloads. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/K-Dense-AI/lab-instrument-mcps before pinning it in production.

What are alternatives to Lab Instrument Mcps?

Compare Lab Instrument Mcps 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 Lab Instrument Mcps? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Lab Instrument Mcps

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for Lab Instrument Mcps](https://agentarmorhq.com/api/badge/k-dense-ai-lab-instrument-mcps)](https://agentarmorhq.com/skills/k-dense-ai-lab-instrument-mcps)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/k-dense-ai-lab-instrument-mcps"><img src="https://agentarmorhq.com/api/badge/k-dense-ai-lab-instrument-mcps" alt="AgentArmorHQ Risk Grade for Lab Instrument Mcps" height="20" /></a>

Terminal check:

terminal

curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "k-dense-ai-lab-instrument-mcps"

Share with your security lead

Need sign-off to use lab-instrument-mcps? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: lab-instrument-mcps
- **Listing URL:** https://agentarmorhq.com/skills/k-dense-ai-lab-instrument-mcps
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 23 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 (labmcp-alicat)

#### Recommended Hardened Setup
- **Command:** `uvx labmcp-alicat`
- **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 24, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: App connector
Publisher: K-Dense-AI
Source code: github.com/K-Dense-AI/lab-instrument-mcps
Install command: pip install labmcp-alicat
Est. context load: ~700 tokens / turn (~4 tool schemas, 0.35% of 200k context)
Popularity: 23 GitHub stars, 251 PyPI downloads
Last updated: 2026-10-29
Last graded: 2026-10-24

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