Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
SOLID/OOP/DRY, the 23 GoF patterns, pattern scaffolding, and heuristic code-smell detection.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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-designPaste 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.
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.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account qwertymuzaffar, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.3) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
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.
Let any LLM watch a video locally — and search everything it has ever watched.
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.
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.
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).
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"] } } }
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:
| Capability | Primitive | What it gives you |
|---|---|---|
| Reference | resources + explain_concept | Authoritative, consistent definitions so the model cites the same thing every time. |
| Scaffolding | scaffold_pattern | A language-agnostic skeleton of a pattern's participants. |
| Smell heuristics | check_smells | A few genuinely-checkable proxies (long method, deep nesting, …) — hints, never verdicts. |
| Explain / apply | review_design, apply_pattern prompts | Prime 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.
{ kind? } — list concepts, optionally filtered (principle | solid | oop | pattern | creational | structural | behavioral). solid / oop narrow to the SOLID five / the four OOP pillars.{ 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").{ pattern, names? } — pseudo-code skeleton for a GoF pattern; names optionally renames roles to your domain ({ "Product": "Notification" }).{ 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.check_smells detects, its thresholds, and its caveats.{ code, focus? } — review a snippet against the principles/patterns, grounded in check_smells + the resources.{ pattern, code } — refactor a snippet to apply a named pattern (and first judge whether it even fits).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
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.
MIT