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PopNx MCPAIを使う人のためのMCPサーバー · やさしい言葉で解説

Figma CodeKit MCP

作者:Mehmoodqureshiバージョン 0.3.0i★ –iパソコンで動く
レジストリ名io.github.Mehmoodqureshi/figma-codekit-mcp

インストール

概要

作者による説明(英語の原文)

Figma to pixel-verified code: HTML/React/Tailwind + tokens, then a render + pixel-diff verify loop.

PopNx MCPの3つの柱

この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。

できること

このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。

  • 接続方法: パソコンで動く
  • トランスポート: stdio
  • カテゴリ: デザイン・画像・音声
  • 入力が必要なもの:FIGMA_TOKEN

インストール

使っているAIアプリを選んで、設定をコピーしてください。

インストールの前に

  • 基本チェック:1項目中1項目に合格
  • あなたのパソコンで、あなたのユーザーと同じ権限(ファイル、ネットワーク、アプリ)で動きます。
  • 自分で入力するもの: FIGMA_TOKEN, FIGMA_MCP_CACHE_DIR

「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。

必要なもの

  • npmNode.jsのインストール(npxコマンドに必要)

どのアプリを使っていますか?

上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。

Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます

{
  "mcpServers": {
    "figma-codekit": {
      "command": "npx",
      "args": [
        "-y",
        "figma-codekit-mcp"
      ],
      "env": {
        "FIGMA_TOKEN": "your-value",
        "FIGMA_MCP_CACHE_DIR": "your-value"
      }
    }
  }
}

ターミナルでこれを実行します

claude mcp add figma-codekit --env FIGMA_TOKEN=your-value --env FIGMA_MCP_CACHE_DIR=your-value -- npx -y figma-codekit-mcp

動かす前に、空欄の値を入力してください。

Cursorで開く

または、設定を自分でコピーする

プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます

{
  "mcpServers": {
    "figma-codekit": {
      "command": "npx",
      "args": [
        "-y",
        "figma-codekit-mcp"
      ],
      "env": {
        "FIGMA_TOKEN": "your-value",
        "FIGMA_MCP_CACHE_DIR": "your-value"
      }
    }
  }
}

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

VS Codeで開く

または、設定を自分でコピーする

プロジェクトの .vscode/mcp.json に貼り付けます

{
  "servers": {
    "figma-codekit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "figma-codekit-mcp"
      ],
      "env": {
        "FIGMA_TOKEN": "your-value",
        "FIGMA_MCP_CACHE_DIR": "your-value"
      }
    }
  }
}

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。

選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。

自分で入力する値

  • FIGMA_TOKEN 秘密 必須 env
    Figma personal access token (Settings -> Security -> Personal access tokens, scope "File content: read"). May instead be placed in a .figma-token file in the project directory. FIGMA_API_KEY is accep…
  • FIGMA_MCP_CACHE_DIR env
    Where converted frames are cached. Defaults to .figma-cache/ in the directory the server starts from.

この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。

できること

パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。

基本チェックi

誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック

  • ✓ 合格

    作者とリポジトリが一致

    レジストリ名は、リポジトリを所有するGitHubアカウント Mehmoodqureshi で確認済みです

  • … 未チェック

    今もメンテナンスされている

    このリポジトリはまだGitHubから読み取っていません

  • … 未チェック

    ライセンスがある

    このリポジトリはまだGitHubから読み取っていません

  • – 対象外

    エンドポイントが応答する

    これはパソコンで動くため、インターネット上のエンドポイントはありません

  • – 対象外

    OAuthでサインイン

    パソコンで動き、代わりにローカルの設定を使います

  • … 未チェック

    ツールの説明に隠れた指示がない

    パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです

デザイン・画像・音声のほかのサーバーとの比較i

  • このカテゴリのほかの2764件のうち0%よりスターが多い
  • このカテゴリのほかの2764件のうち94%より最近レジストリに公開
  • 基本チェックの結果が、このカテゴリのほかの2764件のうち100%と同じかそれ以上

レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。

よくある質問

Figma CodeKit MCPは安全ですか?

当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。

どんなキーやコードが必要ですか?

入力が必要なもの:FIGMA_TOKEN

パソコンで動きますか、それともクラウドですか?

あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。

今もメンテナンスされていますか?

GitHubリポジトリの最終更新は–、最新バージョン(0.3.0)がレジストリに届いたのは一昨日です。

どのアプリで使えますか?

Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。

代わりに使えるものは?

同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server

代わりの候補

同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。

カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i

Figma Context MCP

作者:GLips

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

パソコンで動く★ 16,165MIT5 か月前更新
インストール

Claude Real Video

作者:HUANGCHIHHUNGLeo

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

パソコンで動く★ 2,284MIT2 か月前更新
インストール

Figma MCP Server

作者:figma

The Figma MCP server brings Figma design context directly into your AI workflow.

クラウドで動く★ 2,15213 か月前更新
インストール

作者のREADME

READMEを開く

作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。

figma-codekit-mcp

Figma → code that is actually checked against the design. The pixel-diff verifier for Figma-to-code: it renders the output and diffs it against the frame until it converges — and it can verify *your own running app* the same way, so it works alongside Figma's official MCP server or Framelink rather than replacing them.

Most Figma-to-code tools stop at the moment of generation: they hand you JSX and walk away. Nobody ever renders the output and compares it to the frame, so the result stalls at "90% there" and you spend the afternoon nudging padding by eye.

This MCP server closes that loop. It converts a frame to self-contained HTML deterministically (no LLM, no hallucinated layout), then renders your code in Chromium, pixel-diffs it against the Figma reference, measures every element's box, and tells the agent exactly what is missing or misplaced. The agent edits, calls verify again, and repeats until the diff is at the anti-aliasing floor.

Figma reference First pass — 5.18% off Pixel diff Converged — 0.00%

Those are real artifacts from npm run example, which runs the loop end to end with no API key. The generate callback in that demo is a *scripted* stand-in for an LLM, so it shows the loop mechanics honestly — the measuring is real, the "model" is not.

Why the verify step matters

A Figma node tree tells you what the designer *declared*. It does not tell you what a browser will *do* with your CSS. Those diverge constantly — a flex gap that collapses, a font that falls back, an absolute child that escapes its parent. The only way to know is to render it and look.

figma_verify gives the agent three independent signals per pass:

  • Pixel diff — the overall mismatch ratio plus the worst regions, so it knows *how* wrong and *where*.
  • Element bounding-box IoU — every IR node is tagged data-ir-id, measured in the live DOM, and matched against its Figma box. This is what turns "the bottom-left looks off" into "the CTA button is missing" or "the price label is 40px too low".
  • Paint order and clipping — Figma lists children back-to-front, so a node's pre-order index *is* its paint order; elementsFromPoint over a sample grid gives the rendered order wherever two elements actually overlap. This catches the class of bug the other two signals are blind to by construction: elements present, in exactly the right box, stacked the wrong way round — or cut off by an ancestor's overflow where the design lets them overhang. Neither moves a box, and on a tall frame neither moves the diff ratio much, but a decorative overlay drawn over a photo instead of under it is the first thing a person sees. Reported as WRONG STACKING / OVER-CLIPPED, and reported even when the pixel diff has converged.

Tools

ToolWhat it doesNetwork
figma_convertFetch a frame → HTML + ir.json + images as files in assets/ (or data URIs with inlineAssets: true) + reference.png + design tokens (tokens.json in W3C DTCG format, tokens.css, a Tailwind v4 tailwind.theme.css). Optional react: true (component + the components/ it imports), next: true (a runnable App Router project) and tailwind: true (React/Next.js output as Tailwind classes), plus a responsive variant.Figma API (cached)
figma_verifyRender HTML in Chromium, pixel-diff vs the reference, IoU-check every element, check paint order and clipping, return targeted fix instructions. Pass url (and optionally selector) to verify a running page instead — your own app at http://localhost:3000, in any framework — against the frame.none (or your dev server)
figma_inspectPrint the IR as an indented outline (role, box, layout, text, tokens), filterable — read the structure without dumping raw Figma JSON into context.none
Responsive output depends on what the design actually declares

responsive: true reads Figma's sizing intent — FILL becomes flex/100%, HUG becomes fit-content, FIXED keeps its px. That only exists where the designer used Auto Layout.

A frame with no Auto Layout on the root is a canvas: every child is position:absolute at a coordinate on a 1440px artboard. There is nothing to relax, so making the root width:100% does not reflow it — the children stay pinned at their canvas coordinates and the right-hand side disappears under overflow:hidden. That reads exactly like a page breaking when you zoom.

For those frames the converter keeps the exact canvas and scales it to the viewport instead, so the design stays intact at every width and zoom level (down to 0.5x, after which the page scrolls). figma_convert tells you which strategy it used. If you want real reflow rather than proportional scaling, add Auto Layout in Figma — that is the signal the converter needs.

Every tool returns file paths and numbers, never large blobs. A converted frame is often 100+ KB of HTML; pushing that through a tool result would burn the agent's context for nothing. The agent reads and edits the files directly.

Figma responses are cached per frame, so after the first figma_convert the whole loop runs offline and free — including when you are rate-limited.

Quick start

You need a Figma personal access token: Figma → Settings → Security → Personal access tokens, scope File content: read.

export FIGMA_TOKEN=figd_REPLACE_WITH_YOUR_TOKEN

Add it to Claude Code:

claude mcp add figma --env FIGMA_TOKEN=$FIGMA_TOKEN -- npx -y figma-codekit-mcp@latest

Or for any MCP host that reads a JSON config:

{

"mcpServers": { "figma": { "command": "npx", "args": ["-y", "figma-codekit-mcp@latest"], "env": { "FIGMA_TOKEN": "figd_REPLACE_WITH_YOUR_TOKEN" } } } }

Then, in the agent: copy a frame link out of Figma (right-click the frame → Copy link to selection) and say *"convert this frame and verify it until it converges."*

Check your setup
FIGMA_TOKEN=$FIGMA_TOKEN npx -y figma-codekit-mcp@latest --check

It checks Node, whether a token was found (and where, never its value), whether Figma accepts it, and whether the Chromium figma_verify renders in is installed, then prints READY or what to fix. Exit code 0 means all three tools will work. If Chromium is missing (a skipped download, or CI), install it with npx -y figma-codekit-mcp@latest --install-browser.

Windows

npx resolves to npx.cmd, which some MCP hosts cannot spawn directly. If the server fails to start, point at the shim explicitly:

{

"command": "cmd", "args": ["/c", "npx", "-y", "figma-codekit-mcp@latest"] }

The loop, concretely

figma_convert  →  generated.html, reference.png, ir.json   (deterministic, no LLM)

↓ figma_verify → "NOT CONVERGED — 4.93% of pixels differ. Elements: 22/26 match — 1 missing, 3 misplaced. MISSING: button 'Get started' MISPLACED: h1 'Pricing plan' — 6px too high" ↓ agent edits generated.html ↓ figma_verify → "CONVERGED — 0.31% of pixels differ (threshold 2.00%)."

The refine loop runs through the calling agent, not through an LLM inside the server. That means no ANTHROPIC_API_KEY, no second model billing, and the agent keeps full context on what it already tried. A headless refine loop (src/refine/) still exists for library use.

Watch the loop without an agent

The same pipeline has a one-page local web front end, split in two: a chat on the left, the generated app on the right. You send a frame link, it asks what to build — HTML, React or Next.js; exact or responsive — and then converts, renders and diffs in front of you. The right pane carries the running app, its source files, the verify numbers and the pixel diff.

npm run site        # http://localhost:5173

It uses the same .figma-token and the same .figma-cache/, so a frame you have already converted re-runs offline in about a second. Useful for checking a frame converts cleanly before pointing an agent at it — and for showing someone what "verified against the design" means rather than describing it. Details in site/README.md.

Configuration

VariablePurpose
FIGMA_TOKENRequired. Also read from a .figma-token file in your project directory. FIGMA_API_KEY is accepted as an alias.
FIGMA_MCP_CACHE_DIRWhere converted frames are cached. Defaults to .figma-cache/ in the directory the server is started from.
ANTHROPIC_API_KEY / GEMINI_API_KEYOptional, headless refine loop only. The MCP server never calls an LLM.
FIGMA_MCP_SKIP_BROWSER_DOWNLOAD=1Skip the Chromium download on install. figma_convert and figma_inspect still work; figma_verify will not.

See .env.example. Add .figma-cache/ to your project's .gitignore — a cached frame keeps the original bitmaps and can be tens of megabytes.

FIGMA_FILE_TIMEOUT_MS (default 90000) caps how long figma_convert waits for Figma's whole-file download, which it falls back to when the per-node endpoint is rate-limited. When Figma will not answer, the tool says so within that time and, if the frame is already cached anywhere, builds from the cached copy and marks the result STALE CACHE instead of hanging.

Verify your own app, not just the generated HTML
figma_convert  url=<frame link>                      → .figma-cache/<frame>/ (reference.png)

figma_verify dir= url=http://localhost:3000/pricing selector="#plans"

Build the page however you like — Figma's official MCP server, Framelink, by hand — then point figma_verify at it. It screenshots the page (or just the selected element) at the frame's size and pixel-diffs it against Figma. Element-box and layering checks need the converter's data-ir-id markers, so for a URL only the pixel diff runs.

What it does not do

Being straight about the edges, because they are Figma's, not bugs:

  • Token names are derived, not designed, unless you are on Enterprise. The Figma Variables REST API is Enterprise-only. Without it the converter still collects every colour, font, size and spacing value into tokens.json / tokens.css / tailwind.theme.css, but names them after the value (--color-c8960c) because it cannot know intent. Rename them in your theme.
  • Figma rate-limits by cost. A very large file fetched repeatedly can lock a token out for hours (free accounts hit this sooner). Cached frames keep working offline; figma_convert tells you when the limit lifts.
  • **Component *prop* bindings need Code Connect.** Components are matched by name and reported, but the API does not expose which instance prop drove which value.
  • The diff has a floor. Anti-aliasing and font hinting keep the ratio around 0.5–1.5% even on a perfect match. threshold defaults to 2% for that reason — chasing 0 is chasing rendering noise.
  • One frame at a time. No whole-file crawling, by design: it keeps token spend and Figma rate-limit pressure predictable.

Use it as a library

The verify loop is framework-agnostic and does not need the MCP layer:

import { verifyLoop } from 'figma-codekit-mcp';

import fs from 'node:fs';

const result = await verifyLoop(

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