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

Software Design

by qwertymuzaffarversion 0.1.3i★ –iRuns on your computer
Registry nameio.github.qwertymuzaffar/software-design

Install

Overview

Description from the maker (original English)

SOLID/OOP/DRY, the 23 GoF patterns, pattern scaffolding, and heuristic code-smell detection.

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": {
    "software-design": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-software-design"
      ]
    }
  }
}

Run this in your terminal

claude mcp add software-design -- npx -y mcp-software-design

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "software-design": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-software-design"
      ]
    }
  }
}

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": {
    "software-design": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-software-design"
      ]
    }
  }
}

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 qwertymuzaffar, 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 2192 servers in this category
  • Published to the registry more recently than 20% of the other 2192 servers in this category
  • Basic checks equal to or better than 100% of the other 2192 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 Software Design 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: 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.

mcp-software-design

An MCP server that teaches and helps apply software-design guidance — the SOLID principles, the OOP pillars, DRY / KISS / YAGNI / meaningful naming / clean code, and the 23 Gang-of-Four design patterns — plus pattern scaffolding and heuristic code-smell detection.

It's the companion to mcp-udacity-commit: same stack (TypeScript, the MCP SDK, stdio transport), same shape (pure logic modules + thin server wiring).

Install

Register it with Claude Code — one line, nothing to clone:

claude mcp add software-design -- npx -y mcp-software-design

Or in an MCP client config:

{

"mcpServers": { "software-design": { "command": "npx", "args": ["-y", "mcp-software-design"] } } }

Why this exists — and its one honest caveat

The commit server can *lint*: "subject ≤ 50 chars" is objectively checkable. Design principles and patterns are not like that — "does this violate SRP?" or "should this be a Factory?" are judgment calls, not lint rules.

So this server does not pretend to grade your architecture pass/fail. Instead it does the parts that are genuinely reliable, and hands the judgment to the model:

CapabilityPrimitiveWhat it gives you
Referenceresources + explain_conceptAuthoritative, consistent definitions so the model cites the same thing every time.
Scaffoldingscaffold_patternA language-agnostic skeleton of a pattern's participants.
Smell heuristicscheck_smellsA few genuinely-checkable proxies (long method, deep nesting, …) — hints, never verdicts.
Explain / applyreview_design, apply_pattern promptsPrime the model to review or refactor, grounded in the tools + resources above.

Design analysis is a judgment call, so the "explain/apply helper" is exposed as MCP prompts (which drive the client's model) rather than server code pretending to understand your snippet.

Tools

  • `list_catalog` { kind? } — list concepts, optionally filtered (principle | solid | oop | pattern | creational | structural | behavioral). solid / oop narrow to the SOLID five / the four OOP pillars.
  • `explain_concept` { name } — full guidance for one principle or pattern (intent, when-to-use, trade-offs, participants). Accepts a slug, name, or alias ("SRP", "open-closed", "pubsub").
  • `scaffold_pattern` { pattern, names? } — pseudo-code skeleton for a GoF pattern; names optionally renames roles to your domain ({ "Product": "Notification" }).
  • `check_smells` { code, …thresholds? } — heuristic scan for long method, large class, long parameter list, deep nesting, duplication, and large file. Each finding names the principle it hints at plus a suggested refactor. All thresholds are overridable per call.

Resources

  • `design://principles` — SOLID, OOP pillars, DRY, KISS, YAGNI, meaningful naming, and more.
  • `design://patterns` — the 23 GoF patterns, grouped creational / structural / behavioral.
  • `design://smells` — what check_smells detects, its thresholds, and its caveats.

Prompts

  • `review_design` { code, focus? } — review a snippet against the principles/patterns, grounded in check_smells + the resources.
  • `apply_pattern` { pattern, code } — refactor a snippet to apply a named pattern (and first judge whether it even fits).

Build from source

For local development, or to run a local checkout instead of the published package:

npm install

npm run build # compiles src → build npm start # runs the stdio server npm test # builds, then runs the unit tests npm run test:client # end-to-end check against the built server

Then register it the same way as Install above — both the claude mcp add command and the MCP-client-config form work — but point at your local build instead of npx:

claude mcp add software-design -- node /absolute/path/to/mcp-software-design/build/index.js

Layout

src/

catalog.ts # principles + 23 GoF patterns (data + lookup + markdown) smells.ts # pure, testable code-smell heuristics scaffold.ts # renders a pattern's participants into a skeleton index.ts # MCP wiring: resources, tools, prompts test/ catalog.test.mjs # catalog lookup + scaffolder smells.test.mjs # smell detectors (incl. string/comment edge cases)

The src/*.ts logic modules are pure and side-effect-free, so they're unit tested directly against the compiled output — the server (index.ts) is only thin wiring on top.

License

MIT

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