CertScore.ai

Name: CertScore.ai
Author: ergoveritas1-alt

by ergoveritas1-altversion 0.2.32i★ –iComputer or cloud

Registry nameai.certscore/mcp

Install

Overview

Description from the maker (original English)

MCP server for CertScore.ai public website risk-signal workflows.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Other

Install

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

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://mcp.certscore.ai/mcp

Or run it on your computer

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

{
  "mcpServers": {
    "certscore": {
      "command": "npx",
      "args": [
        "-y",
        "@certscore/mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add --transport http certscore https://mcp.certscore.ai/mcp

Or run it on your computer

claude mcp add certscore -- npx -y @certscore/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "certscore": {
      "url": "https://mcp.certscore.ai/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "certscore": {
      "command": "npx",
      "args": [
        "-y",
        "@certscore/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": {
    "certscore": {
      "type": "http",
      "url": "https://mcp.certscore.ai/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "certscore": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@certscore/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.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://mcp.certscore.ai/mcp

Menu names can differ slightly by plan and over time.

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

The server asks you to sign in before it lists its tools.

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 against the domain certscore.ai (the registry checks domain ownership)
… 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
✓ Pass
Endpoint responds
Responded in 596 ms (HTTP 401)
✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32464 servers in this category
Published to the registry more recently than 89% of the other 32464 servers in this category
Basic checks equal to or better than 100% of the other 32464 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 CertScore.ai safe?

It passed 3 of 3 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?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.32) reached the registry 4 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, yontu

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

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Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

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

Runs in the cloud★ 211Updated yesterday

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yontu

by senrecep

Türkçe yazı denetimi: TDK kuralları, yapay zekâ izleri, metin türüne göre üslup.

Runs on your computerUpdated 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.

CertScore

CertScore (certscore.ai) is a production-minded MVP for scanning public websites for potential accessibility, privacy, cookie, policy, and disclosure risk signals. It is a risk signal and monitoring product, not a legal certification platform.

Monorepo structure

website-signal-risk-scanner/

├─ apps/ │ ├─ web/ │ └─ validation-worker/ ├─ packages/ │ ├─ shared/ │ ├─ web-bot-auth/ │ ├─ db/ │ └─ ui/ ├─ docs/ ├─ .env.example ├─ turbo.json ├─ package.json └─ pnpm-workspace.yaml

Workspace packages

apps/web: product-facing web app and control-plane workflows
apps/validation-worker: active validation runtime owned by WC01
packages/shared: shared constants, types, validators, scoring config, and scheduling helpers
packages/web-bot-auth: server-only Web Bot Auth signing and key-directory helpers
packages/db: PostgreSQL query helpers, migrations, seed SQL, and env helpers
packages/ui: reusable UI primitives

Repo boundary

WC01 is now the product/control-plane repo.

product web flows, scan creation, reporting, and validation stay here
the standalone scanner runtime now lives in WS01
scanner operational changes, crawler identity work, and scanner deploy flow should originate in WS01

What the MVP includes

public homepage with preview scan funnel
Better Auth with Google OAuth and email/password login flows
organization bootstrap and protected workspace routes
domain management, plan limits, and client grouping
DB-backed scan creation with scanner-service claiming
crawl/discovery, accessibility, privacy, and legal heuristics
deterministic scoring, canonical report payloads, and authenticated report UI
scanner-generated PDF generation and upload
regression summaries and scheduled rescans
lightweight branding for reports and PDFs

MCP Light

CertScore.ai MCP Light is the free, no-auth, hosted three-tool integration for public website privacy scans. It detects evidence-backed privacy, cookie, tracker, consent, policy, regulatory-review, HTTPS/TLS, and eligible Reject Path post-refusal signals. Results include a CertScore score and supporting evidence for human and agentic review; they are not legal advice, certification, or a compliance determination.

Add CertScore to Cursor · MCP Light landing page · Cursor Directory listing · Agent installation guide · Full installation reference · MCP package guide

Try it with: Use CertScore.ai to review [PUBLIC URL] before launch. Report the CertScore score, evidence-backed findings, Reject Path observations when available, coverage limitations, and the report URL.

Environment variables

This monorepo should use apps/web/.env.local as the single local development runtime env:

copy apps/web/.env.example to apps/web/.env.local

Use .env.example only as a reference template for shared keys. Do not rely on a root .env.local for app runtime configuration.

Recommended environment split inside WC01:

local web + local validation runtime: dedicated dev PostgreSQL database plus S3-compatible storage
production web + production validation runtime: dedicated production PostgreSQL database plus S3-compatible storage

Do not point localhost at the production database or production auth credentials unless you are intentionally testing production behavior.

Required for the web app:

NEXT_PUBLIC_APP_URL
DATABASE_URL
BETTER_AUTH_SECRET
GOOGLE_CLIENT_ID
GOOGLE_CLIENT_SECRET
S3_BUCKET
S3_REGION
S3_ACCESS_KEY_ID
S3_SECRET_ACCESS_KEY

Required for the validation runtime in WC01:

DATABASE_URL
OPENAI_API_KEY

Optional but recommended:

WORKER_CONCURRENCY
PLAYWRIGHT_BROWSERS_PATH
VALIDATION_OPENAI_MODEL
VALIDATION_NANO_MODEL
WEB_BOT_AUTH_ENABLED
WEB_BOT_AUTH_PRIVATE_KEY_PEM
WEB_BOT_AUTH_SIGNATURE_AGENT_URL

Local development setup

Use Node 22, 23, or 24 for local development. Node 20 is below the workspace engine floor, and Node 25 is not supported because it can fail DNS resolution for app routes and external service calls on localhost.

Install dependencies:

pnpm install

Copy the environment template:

cp apps/web/.env.example apps/web/.env.local

Start a dedicated PostgreSQL instance for local development.
Apply the SQL migrations from packages/db/migrations.
Seed local development data when needed with packages/db/seed/0001_dev_seed.sql.
Configure Better Auth provider settings:

Google OAuth if enabled
email/password and verification settings as needed

Configure auth redirect URLs:

Google OAuth must allow Better Auth's provider callback route:
http://localhost:3000/api/auth/callback/google
http://127.0.0.1:3000/api/auth/callback/google
https://certscore.ai/api/auth/callback/google
/auth/callback is only an app alias route; it is not the redirect URI Better Auth initiates with Google

Keep local and production auth isolated:

local NEXT_PUBLIC_APP_URL should be http://localhost:3000
local database and auth secrets should come from the dev environment
production secrets should exist only in the active AWS/web or worker deployment settings

Create the S3-compatible bucket referenced by S3_BUCKET.
Install Playwright Chromium for the validation runtime:

pnpm --filter @website-signal-risk-scanner/validation-worker exec playwright install chromium

Start validation local development with a watched validation worker:

pnpm dev:validation

Start the main local app by itself when needed:

pnpm --filter @website-signal-risk-scanner/web dev

Use WS01 when you need the standalone scanner locally.
Start the standalone scanner locally against the same dev database and storage env as localhost:3000:

pnpm dev:scanner:local

Use the combined local runner only when you want web + validation together in WC01:

pnpm dev:all

Run a validation scheduler sweep manually when needed:

pnpm dev:validation:scheduler

Development verification

Use these commands before shipping changes:

pnpm turbo run typecheck
pnpm turbo run build

Validation-specific checks:

pnpm --filter @website-signal-risk-scanner/validation-worker typecheck
pnpm test:scan-pipeline

The scan pipeline test is deterministic and runs locally from apps/validation-worker/src/validation/pipeline.test.ts.

The normalized concern lifecycle in WC01 is documented in docs/normalized-concern-pipeline.md.

CI validation

GitHub Actions workflow: .github/workflows/accessibility-validation.yml

worker-scan-pipeline-tests runs on pushes to main, pull requests, and manual dispatch. It installs Chromium, typechecks validation-worker, and runs pnpm test:scan-pipeline.
live-validation-smoke runs after the deterministic job and executes pnpm --filter @website-signal-risk-scanner/validation-worker smoke:validation only when the runtime secrets are configured.
If those secrets are missing, the live smoke job is skipped and only the deterministic scan pipeline job runs.

Runtime validation tooling

Use these lightweight checks before first deployment validation:

pnpm dev:storage:local
pnpm --filter @website-signal-risk-scanner/web check-env
pnpm check-env:validation
pnpm --filter @website-signal-risk-scanner/validation-worker check-env
pnpm --filter @website-signal-risk-scanner/validation-worker check-runtime

For local validation runs, pnpm dev:storage:local starts MinIO against the apps/web/.env.local S3 settings and creates the configured bucket when needed. Run it alongside pnpm dev:scanner:local and pnpm dev:validation:worker.

Use this runtime smoke helper:

pnpm --filter @website-signal-risk-scanner/validation-worker scheduler

The full runtime QA sequence is documented in docs/runtime-validation.md. The validation pipeline design and deployment shape are documented in docs/validation-pipeline-plan.md. The validation crawler deployment and VM runbook is documented in docs/validation-ops-runbook.md. Cloudflare Verified Bot setup is documented in docs/cloudflare-web-bot-auth.md.

Web Bot Auth

ConsentCheck can expose a signed HTTP Message Signatures key directory and sign outbound HTTP crawler requests for Cloudflare Verified Bot workflows.

Required configuration:

WEB_BOT_AUTH_ENABLED
WEB_BOT_AUTH_PRIVATE_KEY_PEM
WEB_BOT_AUTH_SIGNATURE_AGENT_URL
WEB_BOT_AUTH_EXPIRES_SECONDS
WEB_BOT_AUTH_INCLUDE_NONCE

Common commands:

pnpm web-bot-auth:generate
pnpm web-bot-auth:print
pnpm web-bot-auth:test-request
pnpm test:web-bot-auth

Production deployment

Web runtime

the live public web deployment target is the AWS ECS/Fargate path for certscore.ai
consentcheck.site is owned outside WC01 and must not be deployed by this repo
main deploys through .github/workflows/web-aws-ecs-deploy.yml
run pnpm ops:check:deploy before or after topology changes to catch stale local assumptions
run pnpm ops:check:live against the public hosts to verify runtime target and revision alignment after deploy
treat docs/aws-web-ecs-cutover-plan.md as the active web deployment runbook
treat docs/deploy-amplify.md as future-state reference material only

Validation And Scanner Runtime

do not use WC01 for the primary scanner deploy path
use WS01 for scanner runtime deployment
keep WC01 deployment guidance scoped to web and validation only
keep web production, validation worker, and scanner runtime as three distinct deployment paths
use the AWS validation deployment lane for WC01 validation runtime changes

Database, Auth, and Storage

create production PostgreSQL, Better Auth, and S3-compatible storage resources separate from local development
apply all migrations in order
configure the production site URL and production redirect URLs only
create the report storage bucket referenced by S3_BUCKET

Scheduler

Recommended production trigger:

run the validation scheduler sweep every hour if the validation runtime is enabled

Command:

pnpm dev:validation:scheduler

The primary scanner scheduler now lives in WS01.

Deployment readiness checklist

Environment variables configured
PostgreSQL database created
database migrations applied
Better Auth providers configured
S3-compatible storage bucket created
Playwright browsers installed
Worker process running
Scheduler cron configured
First domain scanned successfully
Report generated successfully
PDF export generated successfully

First production validation

After deployment, validate in this order:

run the env and runtime checks above
verify login and organization bootstrap
verify preview scan flow
verify full scan completion
verify findings, scores, and report persistence
verify PDF export
verify regression on a second scan
verify the hourly scheduler sweep path

Operational notes

The standalone scanner in WS01 owns crawl, auditing, scoring, reporting, PDF generation, and schedu

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

CertScore.ai

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

yontu

README from the maker

CertScore

Monorepo structure

Workspace packages

Repo boundary

What the MVP includes

MCP Light

Environment variables

Local development setup

Development verification

CI validation

Runtime validation tooling

Web Bot Auth

Production deployment

Web runtime

Validation And Scanner Runtime

Database, Auth, and Storage

Scheduler

Deployment readiness checklist

First production validation

Operational notes