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

Agentic Design System

by aa-on-aiversion 0.3.0i★ –iRuns on your computer
Registry nameio.github.aa-on-ai/agentic-design-system

Install

Overview

Description from the maker (original English)

Render web and SwiftUI evidence, run explicit visual judgment, and trace ADS UI decisions.

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: Design, images & audio

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": {
    "agentic-design-system": {
      "command": "npx",
      "args": [
        "-y",
        "ads-mcp",
        "--root"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agentic-design-system -- npx -y ads-mcp --root

This one needs values on its command line, so copy the settings and fill them in.

Or copy the settings yourself

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

{
  "mcpServers": {
    "agentic-design-system": {
      "command": "npx",
      "args": [
        "-y",
        "ads-mcp",
        "--root"
      ]
    }
  }
}

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 needs values on its command line, so copy the settings and fill them in.

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agentic-design-system": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ads-mcp",
        "--root"
      ]
    }
  }
}

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account aa-on-ai, 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 Design, images & audioi

  • More stars than 0% of the other 2203 servers in this category
  • Published to the registry more recently than 20% of the other 2203 servers in this category
  • Basic checks equal to or better than 100% of the other 2203 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 Agentic Design System 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 (0.3.0) 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: Figma Context MCP, Claude Real Video, Figma 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

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago
Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
Install

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
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.

ads-mcp

Local MCP adapter for Agentic Design System. It turns ADS rendering, deterministic gates, evaluation receipts, and decision provenance into a stable three-tool surface for coding agents.

Run from npm

Point the server at the project whose UI you want ADS to inspect:

npx --yes ads-mcp@0.3.0 --root /absolute/path/to/project

The MCP server connects without downloading a browser, so cold clients can discover its tools inside their startup budget. Before the first web render, verify or install Chromium once:

npx --yes ads-mcp@0.3.0 doctor

npx --yes ads-mcp@0.3.0 setup

If Chromium is missing, ads_render preserves a blocked run with the same setup command instead of timing out or fabricating evidence. Operators may also set PLAYWRIGHT_CHROMIUM_EXECUTABLE_PATH to an existing compatible Chromium executable.

Build from source

From the ADS repository:

npm --prefix packages/ads-mcp install

npm --prefix packages/ads-mcp run build node packages/ads-mcp/dist/cli.js --root /absolute/path/to/project

Optional server flags:

  • --runs-dir changes the run directory under the project root. The default is .ads/runs.
  • --allow-origin allows one non-local HTTP(S) origin. Repeat the flag for additional origins.
  • --timeout-ms changes the per-tool timeout. The default is 30 seconds.
  • --judge-command, --judge-provider, and --judge-model configure an explicit visual-judge adapter. --judge-arg is repeatable.
  • --swiftui-command configures a SwiftUI snapshot adapter. --swiftui-arg and --swiftui-detector are repeatable; --swiftui-renderer labels the renderer in run manifests.

Client configuration

Use the published package as a local stdio server. Replace the project path:

{

"mcpServers": { "ads": { "command": "npx", "args": [ "--yes", "ads-mcp@0.3.0", "--root", "/absolute/path/to/project" ] } } }

The server initialization instructions tell clients to render and evaluate first:

ads_render -> ads_evaluate

ads_trace is conditional. Call it only after reading the run manifest and confirming it contains at least one observed skill file, source file, and artifact file. Use the exact root-relative paths and excerpts captured in that manifest. Never invent provenance paths or substitute prompt labels or URLs.

Registry name: io.github.aa-on-ai/agentic-design-system.

For URL targets, the default state uses the original URL. Every requested non-default state is loaded as #state= , so the application should read the state parameter from location.hash.

Protocol and extension posture

The server is built on the split MCP TypeScript SDK v2 packages and starts through serveStdio. One binary accepts both legacy initialize clients and modern clients that negotiate the 2026-07-28 protocol through server/discover.

Run identifiers are durable handles backed by /.ads/runs, not MCP session identifiers. Render, evaluate, trace, and resource reads therefore recover across fresh client, server, and service instances on the same project filesystem.

The server advertises the stable MCP Apps extension as io.modelcontextprotocol/ui. Each ADS tool links to ui://ads/review, a self-contained text/html;profile=mcp-app resource that can display evidence, gates, findings, blockers, and decision traces inline. The app uses the 2026-01-26 Apps protocol and only requests server-tool and server-resource access from a compatible host. Hosts without Apps support retain the same three-tool and resource surface.

Current extension decisions are deliberate:

  • ADS does not advertise the io.modelcontextprotocol/tasks extension. Render and evaluation remain bounded synchronous calls because they do not yet need an asynchronous lifecycle; ADS will adopt the extension only with a concrete long-running operation and a verified TypeScript SDK and host path. It does not use the deprecated core task vocabulary.
  • Local stdio does not add an authentication layer. Any future remote transport must implement the current MCP OAuth/OIDC authorization model before it is enabled.
  • The filesystem run store is suitable for one local project root and is independent of an MCP session. Hosted or replicated operation requires a shared durable store and concurrency controls before it can claim the same recovery guarantee.

Tools

ads_render

Render an allowed URL, root-confined TSX component, or startup-configured SwiftUI target. The tool captures requested states and viewports, runs the applicable platform gates, and returns ads://runs/... resources.

{

"target": { "type": "url", "url": "http://127.0.0.1:3000/orders" }, "states": ["default", "loading", "empty", "error"], "viewports": [{ "width": 390, "height": 844 }, { "width": 1280, "height": 800 }], "waitFor": "main", "provenance": { "observedSkillFiles": ["skills/design-review/SKILL.md"], "sourceFiles": ["brief.md"], "artifactFiles": ["src/Orders.tsx"] } }

A render is complete only when axe, overflow, landmarks and live regions, requested states, CLS, and touch-target gates have usable passing evidence. Missing browser dependencies, timeouts, and gate failures return a preserved blocked run instead of a false success.

SwiftUI uses the same public tool through an external snapshot adapter:

{

"target": { "type": "swiftui", "projectPath": "Orders.xcodeproj", "scheme": "Orders", "sourcePath": "Orders/ContentView.swift", "configuration": "Debug", "device": "iPhone 16 Pro" }, "states": ["default", "loading", "empty", "error"], "viewports": [{ "width": 393, "height": 852 }] }

ads_evaluate

Normalize a rendered run and optionally compare it with another run. The default judge.mode: "none" remains model-free and returns needs_human when deterministic gates pass. judge.mode: "configured" invokes the visual-judge adapter selected at server startup and returns a typed verdict, rubric scores, findings, and next revision prompt.

{

"runId": "run_...", "compareToRunId": "run_optional_baseline", "rubric": { "task": "Make the orders workflow understandable on mobile and desktop", "criteria": [ { "name": "Design Quality", "weight": 35 }, { "name": "Originality", "weight": 30 }, { "name": "Craft", "weight": 20 }, { "name": "Functionality", "weight": 15 } ] }, "judge": { "mode": "configured" } }

The server validates exact rubric score keys, ADS finding categories, severities, evidence links, normalized screenshot regions, and verdict consistency before accepting the result. Missing, timed-out, or inconsistent judge output returns blocked, never a pass.

ads_trace

Verify final decisions against files hashed during render. Rule files must have been recorded as observed, source and artifact files must be present and unchanged, excerpts must be exact, and all evidence URIs must resolve inside the same run.

For URL-only inspection without captured provenance, stop after ads_evaluate. If a client calls ads_trace anyway, the server returns one actionable trace not applicable error without resolving caller-invented paths.

{

"runId": "run_...", "context": "Orders responsive repair", "decisions": [ { "id": "mobile-primary-action", "decision": "Keep the primary action reachable on mobile.", "artifact": { "path": "src/Orders.tsx", "location": "Primary action row" }, "rule": { "path": "skills/design-review/SKILL.md", "excerpt": "All consequential controls need a visible, reachable interaction target." }, "sourceConstraint": { "path": "brief.md", "excerpt": "The primary action must remain reachable on mobile." }, "evidence": ["ads://runs/run_.../evidence"] } ] }

Artifacts and security

Run artifacts live under /.ads/runs/ /. Tools return short structured results and read-only resource links for manifests, rendered evidence, screenshots, evaluation receipts, reports, traces, and trace validation.

resources/list enumerates recent run artifacts so a client can recover them after losing a tool response. Resource URIs are stable logical identifiers rather than disk paths. For example, ads://runs/ /screenshots/default-390x844.png maps to /.ads/runs/ /evidence/default-390x844.png; clients should use resources/read.

  • No arbitrary command tool or caller-selected output path.
  • Project file reads and run writes stay under --root, including symlink checks.
  • URL inputs must use HTTP(S). Localhost is allowed by default; other origins need startup allow-listing.
  • URL credentials are rejected and common secret query parameters are redacted from receipts.
  • External adapters run as fixed argv processes without a shell. Executables must be absolute paths and stdout is bounded.
  • A model call requires both startup configuration and per-evaluation judge.mode: "configured"; provider, model, and call count are written to the receipt.

Verify

npm test

The suite covers legacy initialization and modern server/discover, the MCP App handshake and inline review action, a complete MCP client sequence, cross-server run recovery, Chromium URL and TSX component capture, command-adapter JSON exchange, configured visual verdicts, SwiftUI snapshot evidence, rendered comparisons, resource reads, repeated stage receipts, timeout and incomplete-evidence behavior, path traversal, symlink escape, origin denial, and trace failures.

Current limits

  • Local stdio only. No remote HTTP, OAuth, or hosted service.
  • The MCP App is an optional progressive enhancement; host-native rendering still depends on the host implementing the stable Apps extension.
  • Tasks are intentionally not advertised.
  • Browser acquisition is explicit through ads-mcp setup; MCP startup never downloads Chromium.
  • The core package does not bundle provider SDKs, select a model, or ship a universal Xcode snapshot harness. Operators supply explicit command adapters for their environment.
  • SwiftUI evidence depends on the configured adapter's build, state injection, and detector capabilities.
  • The default path remains deterministic and returns needs_human; automated judgment is deliberately opt-in.

See the canonical API contract and command adapter protocol for the complete interfaces.

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