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

Judges Panel

by KevinRabunversion 3.129.9i★ –iRuns on your computer
Registry nameio.github.KevinRabun/judges

Install

Overview

Description from the maker (original English)

45 judges that evaluate AI-generated code for security, cost, and quality with built-in AST.

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: Cybersecurity

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

  • npmNode.js installed (for the npx command)

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": {
    "judges": {
      "command": "npx",
      "args": [
        "-y",
        "@kevinrabun/judges"
      ]
    }
  }
}

Run this in your terminal

claude mcp add judges -- npx -y @kevinrabun/judges

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "judges": {
      "command": "npx",
      "args": [
        "-y",
        "@kevinrabun/judges"
      ]
    }
  }
}

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": {
    "judges": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@kevinrabun/judges"
      ]
    }
  }
}

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account KevinRabun, 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 Cybersecurityi

  • More stars than 0% of the other 1000 servers in this category
  • Published to the registry more recently than 11% of the other 1000 servers in this category
  • Basic checks equal to or better than 100% of the other 1000 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 Judges Panel 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 (3.129.9) reached the registry 7 months ago.

Which apps can use it?

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

What can I use instead?

In the same category: Phishnoo Sandbox, Zovo Dependency Audit, TeamOnly

Alternatives

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

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

Phishnoo Sandbox

Explore synthetic security awareness metrics and file example threat reports.

by api.phishnoo.nlEarlyUpdated today

Runs in the cloud✓ api.phishnoo.nl

Zovo Dependency Audit

Audit a dependency list for known vulnerabilities, licenses and outdated versions.

by theluckystrikeEarlyUpdated today

Runs in the cloud

TeamOnly

Deploy AI-built internal apps behind your company login, with a database, files and secrets.

by sohelsdVery new↓ 315/wkUpdated today

Runs on your computer✓ teamonly.dev

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.

Judges Panel

An MCP (Model Context Protocol) server that provides a panel of 45 specialized judges to evaluate AI-generated code — acting as an independent quality gate regardless of which project is being reviewed. Combines deterministic pattern matching & AST analysis (instant, offline, zero LLM calls) with LLM-powered deep-review prompts that let your AI assistant perform expert-persona analysis across all 45 domains.

Highlights:

  • Includes an App Builder Workflow (3-step) demo for release decisions, plain-language risk summaries, and prioritized fixes — see Try the Demo.
  • Includes V2 context-aware evaluation with policy profiles, evidence calibration, specialty feedback, confidence scoring, and uncertainty reporting.
  • Includes public repository URL reporting to clone a repo, run the full tribunal, and output a consolidated markdown report.
  • 200+ deterministic auto-fix patches (see src/patches/index.ts) plus LLM-powered deep review.

🧪 Many commands in printHelp are experimental/roadmap. By default, we show GA commands only. Set JUDGES_SHOW_EXPERIMENTAL=1 to reveal stubs; these may not be wired yet.

🔰 Packages

- CLI: @kevinrabun/judges-cli → binary judges (use npx @kevinrabun/judges-cli eval --file app.ts).

- MCP/API: @kevinrabun/judges → programmatic API + MCP server (npm install @kevinrabun/judges).

- VS Code extension: see vscode-extension/.

- GitHub Action: uses: KevinRabun/judges@main (see CI quickstart).


Quickstart

CLI (one-off)
# Using the CLI package (recommended)

npx @kevinrabun/judges-cli eval --file src/app.ts

Show GA commands only (default)

npx @kevinrabun/judges-cli --help

Show experimental/roadmap commands

echo "JUDGES_SHOW_EXPERIMENTAL=1" >> $GITHUB_ENV npx @kevinrabun/judges-cli --help

License scan (supply-chain & license compliance)

npx @kevinrabun/judges-cli license-scan --dir .

CLI vs API: If you want to embed Judges in your app (MCP/API), install @kevinrabun/judges. For the command-line, use @kevinrabun/judges-cli (binary judges).

GitHub Action
name: Judges

on: [pull_request, push] jobs: judges: runs-on: ubuntu-latest steps:

  • uses: actions/checkout@v4
  • uses: KevinRabun/judges@main with: path: . diff-only: true # evaluate only changed lines in PRs (default true) fail-on-findings: true # fail on critical/high findings upload-sarif: true # upload SARIF to GitHub Code Scanning
Programmatic API (MCP server included)
npm install @kevinrabun/judges
import { evaluateCode } from "@kevinrabun/judges/api";

const verdict = evaluateCode("const password = 'ProdSecret';", "typescript"); console.log(verdict.overallVerdict, verdict.overallScore);

MCP server

The MCP server runs on stdio and is started by your MCP client (VS Code, Claude Desktop, etc.). Configure it in your MCP settings (e.g. mcp.json):

{

"servers": { "judges": { "type": "stdio", "command": "npx", "args": ["-y", "@kevinrabun/judges"] } } }

Or run the server directly:

npx @kevinrabun/judges

Starts the MCP server on stdio

Config file: .judgesrc.json (supports ${ENV_VAR} substitution via expandEnvPlaceholders). See Configuration.


Why Judges?

AI code generators (Copilot, Cursor, Claude, ChatGPT, etc.) write code fast — but they routinely produce insecure defaults, missing auth, hardcoded secrets, and poor error handling. Human reviewers catch some of this, but nobody reviews 45 dimensions consistently.

ESLint / BiomeSonarQubeSemgrep / CodeQLJudges
ScopeStyle + some bugsBugs + code smellsSecurity patterns45 domains: security, cost, compliance, a11y, API design, cloud, UX, …
AI-generated code focusNoNoPartialPurpose-built for AI output failure modes
SetupConfig per projectServer + scannerCloud or localOne command: npx @kevinrabun/judges-cli eval file.ts
Auto-fix patchesSomeNoNo200+ deterministic patches — instant, offline
Non-technical outputNoDashboardNoPlain-language findings with What/Why/Next
MCP nativeNoNoNoYes — works inside Copilot, Claude, Cursor
SARIF outputNoYesYesYes — upload to GitHub Code Scanning
CostFree$$$$Free/paidFree / MIT

Judges doesn't replace linters — it covers the dimensions linters don't: authentication strategy, data sovereignty, cost patterns, accessibility, framework-specific anti-patterns, and architectural issues across multiple files.


Quick Start

Prereqs: Node.js >=18 (>=20 recommended), npx available. The judges CLI binary ships with @kevinrabun/judges-cli (preferred) and also works via npx @kevinrabun/judges.

Packages:

- CLI: npm install -g @kevinrabun/judges-cli (or npx @kevinrabun/judges-cli ...)

- MCP/API: npm install @kevinrabun/judges

Use @kevinrabun/judges for the MCP server and programmatic API. Use @kevinrabun/judges-cli when you want the judges terminal command.

Try it now (no clone needed)
# Install the CLI globally

npm install -g @kevinrabun/judges-cli

Evaluate any file

judges eval src/app.ts

Pipe from stdin

cat api.py | judges eval --language python

Single judge

judges eval --judge cybersecurity server.ts

SARIF output for CI

judges eval --file app.ts --format sarif > results.sarif

HTML report with severity filters and dark/light theme

judges eval --file app.ts --format html > report.html

Fail CI on findings (exit code 1)

judges eval --fail-on-findings src/api.ts

Suppress known findings via baseline

judges eval --baseline baseline.json src/api.ts

Use a named preset

judges eval --preset security-only src/api.ts

Use a config file

judges eval --config .judgesrc.json src/api.ts

Set a minimum score threshold (exit 1 if below)

judges eval --min-score 80 src/api.ts

One-line summary for scripts

judges eval --summary src/api.ts

Agentic skills (orchestrated judge sets)

judges skill ai-code-review --file src/app.ts judges skill security-review --file src/api.ts --format json judges skill release-gate --file src/app.ts judges skills # list available skills

Full catalog: docs/skills.md

List all 45 judges

judges list

Additional CLI Commands
# Interactive project setup wizard

judges init

Preview auto-fix patches (dry run)

judges fix src/app.ts

Apply patches directly

judges fix src/app.ts --apply

License compliance scan (copyleft/unknown detection)

judges license-scan --format json --risk high

Watch mode — re-evaluate on file save

judges watch src/

Project-level report (local directory)

judges report . --format html --output report.html

Evaluate a unified diff (pipe from git diff)

git diff HEAD~1 | judges diff

Analyze dependencies for supply-chain risks

judges deps --path . --format json

Run GitHub App server (zero-config PR reviews)

judges app serve --port 4567

Run GitHub PR review (gh CLI required)

judges review --pr 123 --repo owner/name --diff-only

Auto-tune presets and configs

judges tune --dir . --apply

Create a baseline file to suppress known findings

judges baseline create --file src/api.ts -o baseline.json

Generate CI template files

judges ci-templates --provider github judges ci-templates --provider gitlab judges ci-templates --provider azure judges ci-templates --provider bitbucket

Generate per-judge rule documentation

judges docs judges docs --judge cybersecurity judges docs --output docs/

Install shell completions

judges completions bash # eval "$(judges completions bash)" judges completions zsh judges completions fish judges completions powershell

Install pre-commit hook

judges hook install

Uninstall pre-commit hook

judges hook uninstall

🔎 Tip: The CLI help now defaults to GA commands only. To see experimental/roadmap commands, run:

`bash

JUDGES_SHOW_EXPERIMENTAL=1 judges --help

`

GitHub App (self-hosted webhook)

Run a zero-config PR reviewer as a GitHub App:

# Run the webhook server locally

judges app serve --port 4567

Required env vars:

  • JUDGES_APP_ID – GitHub App ID
  • JUDGES_PRIVATE_KEY or JUDGES_PRIVATE_KEY_PATH – PEM private key
  • JUDGES_WEBHOOK_SECRET – signature verification secret

Optional:

  • JUDGES_MIN_SEVERITY (default: medium)
  • JUDGES_MAX_COMMENTS (default: 25)
  • JUDGES_TEST_DRY_RUN=1 to avoid live network calls during tests

For local testing, you can expose http://localhost:4567/webhook via ngrok http 4567 and configure the GitHub App webhook URL accordingly.

Use in GitHub Actions

Add Judges to your CI pipeline with zero configuration:

# .github/workflows/judges.yml

name: Judges Code Review on: [pull_request]

jobs: judges: runs-on: ubuntu-latest permissions: contents: read security-events: write # only if using upload-sarif steps:

  • uses: actions/checkout@v4
  • uses: KevinRabun/judges@main with: path: src/api.ts # file or directory format: text # text | json | sarif | markdown upload-sarif: true # upload to GitHub Code Scanning fail-on-findings: true # fail CI on critical/high findings

Outputs available for downstream steps: verdict, score, findings, critical, high, sarif-file.

Use with Docker (no Node.js required)
# Build the image

docker build -t judges .

Evaluate a local file

docker run --rm -v $(pwd):/code judges eval --file /code/app.ts

Pipe from stdin

cat api.py | docker run --rm -i judges eval --language python

List judges

docker run --rm judges list

Or use as an MCP server
1. Install and Build
git clone https://github.com/KevinRabun/judges.git

cd judges npm install npm run build

2. Try the Demo

Run the included demo to see all 45 judges evaluate a purposely flawed API server:

npm run demo

This evaluates examples/sample-vulnerable-api.ts — a file intentionally packed with security holes, performance anti-patterns, and code quality issues — and prints a full verdict with per-judge scores and findings.

The demo now also includes an App Builder Workflow (3-step) section. In a single run, you get both tribunal output and workflow output:

  • Release decision (Ship now / Ship with caution / Do not ship)
  • Plain-language summaries of top risks
  • Prioritized remediation tasks and AI-fixable P0/P1 items

Sample workflow output (truncated):

╔══════════════════════════════════════════════════════════════╗

║ App Builder Workflow Demo (3-Step) ║ ╚══════════════════════════════════════════════════════════════╝

Decision : Do not ship Verdict : FAIL (47/100) Risk Counts : Critical

Only the beginning is shown; read the rest in the repo

Ask PopNx