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PopNx MCPMCP servers for people who use AI · explained in plain words

GridProof

by gridproofversion 0.1.3i★ –iRuns on your computer
Registry nameio.github.gridproof/gridproof

Install

Overview

Description from the maker (original English)

Gridproof your UI — automated spacing & grid QA in the agent loop (MCP server).

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

  • 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": {
    "gridproof": {
      "command": "npx",
      "args": [
        "-y",
        "gridproof"
      ]
    }
  }
}

Run this in your terminal

claude mcp add gridproof -- npx -y gridproof

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "gridproof": {
      "command": "npx",
      "args": [
        "-y",
        "gridproof"
      ]
    }
  }
}

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": {
    "gridproof": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "gridproof"
      ]
    }
  }
}

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 gridproof, 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 32384 servers in this category
  • Published to the registry more recently than 23% of the other 32384 servers in this category
  • Basic checks equal to or better than 100% of the other 32384 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 GridProof 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 (0.1.3) reached the registry 3 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: Spec Driven Development, Remote Desktop Commander, 오늘냥이 (Oneul Nyangi)

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

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.

GridProof

GridProof your UI — automated spacing & grid QA in the agent loop.

GridProof is an MCP server that renders your running frontend with Playwright, measures the computed geometry of every element, checks it against a spacing/token rule set, and hands back a structured fix report — so a coding agent can close the loop itself: generate, audit, fix, re-audit.

The problem

AI coding agents are good at generating UI and bad at keeping it on a grid: py-[13px] instead of py-3, sibling cards with three different gaps, icons at 17px next to 24px. None of it breaks anything, so it ships — because nothing in the agent loop checks for it. GridProof is that check.

The loop

agent generates UI → gp_audit(url) → JSON violations with fix hints

→ agent edits source → gp_audit(url) → clean report = done

The server never touches your source files. It measures a rendered page and points; the agent (which has your codebase open) makes the edit.

Quickstart

# One-time: install the Chromium build Playwright uses (~150MB)

npx playwright install chromium

Register in Claude Code
claude mcp add gridproof -- npx -y gridproof

From a local checkout:

npm install && npm run build

claude mcp add gridproof -- node /absolute/path/to/gridproof/dist/index.js

Three ways to use it

1. `gp_audit` — inside the agent loop. The agent calls this MCP tool directly against your running dev server and gets back structured JSON (violations + fix hints) to act on.

2. `gp_report` — MCP tool that also writes an HTML report. Same inputs as gp_audit, plus it writes a self-contained, shareable HTML file to disk.

3. `npx gridproof --report ` — one-shot CLI. No MCP client needed; useful for a quick manual check or scripting.

npx gridproof --report http://localhost:5173

writes ./gridproof-report.html, prints its path

npx gridproof --report http://localhost:5173 --out ./qa/report.html --viewport 375x812

The rules

Four rules. All report warn by default — nothing blocks, nothing has exit-code semantics. Suggest, don't forbid; the one exception is tap targets, which error because it's an accessibility floor, not a style opinion.

RuleDetectsSeverityExample fix
spacing-scaleComputed margin/padding/gap that isn't a multiple of the base unit (default 4px) and isn't an allowed valuewarnSnaps to the nearest valid value
arbitrary-valueOff-scale arbitrary Tailwind classeswarnpy-[13px] → py-3
gap-consistencySiblings in a flex/grid container spaced inconsistently when gap isn't setwarnSet gap-4 on the container instead of per-child margins
canonical-sizeIcon/interactive-element sizes off the canonical scale, and interactive elements below the tap-target minimumwarn (icons) / error (tap targets)Snap to canonical size; WCAG 2.5.8

Tailwind, and non-Tailwind pages

GridProof is built for Tailwind projects — that's where all four rules apply, since spacing-scale, arbitrary-value, and gap-consistency reason about Tailwind's spacing scale and utility classes.

On a page it doesn't detect as Tailwind, it auto-falls-back to accessibility-only checks: canonical-size still runs (tap targets, icon sizes), the three Tailwind-specific rules are skipped, and the report says so explicitly rather than silently under-reporting. You can force this with assumeTailwind: false in config.

Configuration

Optional gridproof.config.json at your project root (all fields optional; defaults shown):

{

"baseUnit": 4, "allowedValues": [1, 2], "canonicalSizes": [12, 14, 16, 20, 24, 32, 40, 48], "minTapTarget": 44, "tapTargetBreakpoint": 768, "iconTolerance": 2, "assumeTailwind": "auto", "rules": { "spacing-scale": "warn", "arbitrary-value": "warn", "gap-consistency": "warn", "canonical-size": "error" }, "suppress": [ { "selector": ".hero-art *", "rules": ["spacing-scale"] }, { "value": "13px", "reason": "optical correction, logo lockup" } ] }

Inline suppression: data-gp-ignore (all rules) or data-gp-ignore="spacing-scale gap-consistency" on any element skips its subtree for those rules. Suppressed findings are counted, never listed.

What it deliberately does NOT do

  • No computer vision / screenshot analysis. It reads computed geometry, not pixels. A screenshot is attached to the HTML report, not analyzed.
  • No CI runner. It's an in-loop tool for an agent, not a merge gate — no exit codes, nothing fails a build.
  • No source editing. The server measures and suggests; the agent (which has your codebase) makes the edits.
  • No auth, no SaaS, no billing. It's a local MCP server and a CLI.
  • Not yet (v2 candidates, not implemented): column-grid clustering, cross-breakpoint alignment drift, Figma token import.

How it works

Playwright renders the target page headless, a single in-page script walks the DOM and collects computed geometry (margins, padding, gap, rects), and the rule engine checks each value against your config and emits violations with selectors, actual/expected values, and fix hints. It's tuned against roughly 60 real-world sites to keep false positives low — a subpixel rounding tolerance, an allowed-values list, and severity defaults all come out of that calibration, not guesswork.

Development

npm install

npm run build # tsc → dist/ npm test # vitest (unit + Playwright integration) npm run dev # run the server from TypeScript (tsx)

License

MIT — v0.1.0

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