Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Pkgverdict

by CloudCorpRecordsversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/pkgverdict

Install

Overview

Description from the maker (original English)

Pre-install verdicts for npm packages: GO, RISKY, FAKE, or MISSING. Built for humans and AI agents.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "pkgverdict": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/cloudcorprecords/pkgverdict:0.1.1",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add pkgverdict -- docker run -i --rm ghcr.io/cloudcorprecords/pkgverdict:0.1.1 mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "pkgverdict": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/cloudcorprecords/pkgverdict:0.1.1",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "pkgverdict": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/cloudcorprecords/pkgverdict:0.1.1",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32435 servers in this category
  • Published to the registry more recently than 72% of the other 32435 servers in this category
  • Basic checks equal to or better than 100% of the other 32435 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Pkgverdict safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 14 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Apify MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡

Runs in the cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

pkgverdict

Check an npm package before you install it. One command, one verdict: GO, RISKY, FAKE, or MISSING — in plain words your AI coding agent can read too.

pkgverdict ships as a container image on GHCR (there is no npm package named pkgverdict, so npx pkgverdict will 404 — use Docker):

docker run --rm ghcr.io/cloudcorprecords/pkgverdict check react-markdown

[GO] react-markdown@10.1.0

- 5y old, 38.4M/wk, no install scripts, no advisories, no lookalike name.

docker run --rm ghcr.io/cloudcorprecords/pkgverdict check unused-imports

[FAKE] unused-imports@0.0.1-security

- Flagged malicious: MAL-2025-48781. Do not install.

- Name rides on eslint-plugin-unused-imports (suffix of popular name) and the

package is barely downloaded — the classic typosquat shape.

docker run --rm ghcr.io/cloudcorprecords/pkgverdict check react-super-hooks-plus

[MISSING] react-super-hooks-plus

- react-super-hooks-plus is not on the npm registry. If an AI assistant

suggested it, the name was hallucinated.

Why

AI assistants now pick half the packages developers install — and they hallucinate names attackers have already registered (slopsquatting), while typosquats and hijacked releases keep shipping postinstall malware. npm audit only sees published advisories, after the fact. pkgverdict checks before the install: existence, lookalike names, package age, install scripts, maintainers, downloads, and OSV advisories.

Use it inside your AI coding tool

One command sets it up. In your project directory, run:

docker run --rm -v "$PWD":/work -w /work ghcr.io/cloudcorprecords/pkgverdict init --agent claude-code

That installs the MCP server config plus the instruction snippet teaching your agent the one behavior rule: check pkgverdict before installing. Supported tools: claude-code, cursor, copilot (VS Code), windsurf, cline, and generic (init --list shows them all; --all sets up everything; --dry-run previews without writing). Restart your tool, verify with a "list your MCP tools" prompt, and the pkgverdict server should appear with 2 tools (check_package, scan_dependencies). The underlying pack lives in integrations/ if you prefer to install by hand.

CLI

# Verdict on one package (name or name@version)

docker run --rm ghcr.io/cloudcorprecords/pkgverdict check lodash

Check every dependency in package.json, worst first

docker run --rm -v "$PWD":/work -w /work ghcr.io/cloudcorprecords/pkgverdict scan docker run --rm -v "$PWD":/work -w /work ghcr.io/cloudcorprecords/pkgverdict scan ./my-app --no-dev

Check your setup (Node version, registry + OSV reachability, cache)

docker run --rm ghcr.io/cloudcorprecords/pkgverdict doctor

JSON output for scripting and CI

docker run --rm ghcr.io/cloudcorprecords/pkgverdict check left-pad --json

Exit codes: 0 when everything is GO (or RISKY without --strict), 1 when a FAKE or MISSING package is found, 2 on usage errors. For CI gates that should fail on anything suspicious: pkgverdict scan --strict.

Verdicts

VerdictMeaning
GOEstablished package, no red flags. Install away.
RISKYCaution: install scripts, very young, obscure, deprecated, no repo/license, known advisories, or a lookalike name on an otherwise fine package. Read before installing.
FAKELooks actively bad: typosquat-shaped name on a new/obscure package, hostile install script, or a malicious advisory (MAL- id, a MAL- alias, or an OSV record whose details mark the package itself malicious/backdoored — e.g. the event-stream@3.3.6 compromise, carried under a GHSA id). Do not install.
MISSINGNot on the registry at all — a typo or a hallucinated name, with a "did you mean" suggestion when one fits.

Signals come from the npm registry (metadata, downloads), the OSV database (advisories), and a bundled list of well-known packages for lookalike detection. Responses cache under ~/.cache/pkgverdict (6h metadata, 1h advisories); delete that directory to force fresh checks.

Distribution

pkgverdict has exactly two distribution channels, and both are intentional:

  1. GHCR: the container image ghcr.io/cloudcorprecords/pkgverdict, built and pushed by the Publish container workflow on each release.
  2. The MCP Registry: the listing io.github.CloudCorpRecords/pkgverdict, whose server.json carries an OCI package only, pointing at that same GHCR image.

There is no npm package, and that is the model, not a missing step. npx pkgverdict returning 404 is expected. The unscoped name in package.json exists to build the image and version the CLI; the package is marked private so a stray npm publish from a checkout fails fast instead of claiming the name, and the old template workflow that ran npm publish on every release now sits disabled at .github/workflows/publish.yml, printing this model instead of publishing. Publishing to npm later would be a maintainer decision needing a scoped name and a token with rights to it. These facts are pinned by test/distribution.test.ts, so the residue cannot quietly come back.

Run it with Docker

The GHCR image is the primary distribution: ghcr.io/cloudcorprecords/pkgverdict.

Use it as a stdio MCP server:

docker run --rm -i ghcr.io/cloudcorprecords/pkgverdict

Any CLI command can be passed after the image name instead of the default mcp argument:

docker run --rm ghcr.io/cloudcorprecords/pkgverdict <command> [args]

MCP server

Point your MCP client at Docker (stdio):

{

"mcpServers": { "pkgverdict": { "command": "docker", "args": ["run", "--rm", "-i", "ghcr.io/cloudcorprecords/pkgverdict", "mcp"] } } }

Two tools: check_package (verdict on one package) and scan_dependencies (worst-first verdicts for a project's package.json).

Development

npm install

npm run build npm test # offline fixture corpus: every verdict rule pinned to a case

License

MIT.

Ask PopNx