プロトタイプ · プレビュー版:公式レジストリのすべてのサーバーを掲載し、30分ごとに同期しています。レビューとアカウント機能は今後のステップで始まります。
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-vault

作者:NBheyバージョン 0.1.5i★ –iパソコンで動く
レジストリ名io.github.NBhey/figma-vault

インストール

概要

作者による説明(英語の原文)

Figma designs pulled once into a local vault; AI agents read them offline with no rate limits

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

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。
  • レジストリには、入力が必要なキーは載っていません。

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-vault": {
      "command": "npx",
      "args": [
        "-y",
        "figma-vault",
        "mcp"
      ]
    }
  }
}

ターミナルでこれを実行します

claude mcp add figma-vault -- npx -y figma-vault mcp

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-vault": {
      "command": "npx",
      "args": [
        "-y",
        "figma-vault",
        "mcp"
      ]
    }
  }
}

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-vault": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "figma-vault",
        "mcp"
      ]
    }
  }
}

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。

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7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 NBhey 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2195件のうち0%よりスターが多い
  • このカテゴリのほかの2195件のうち40%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2195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-vault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?

レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。

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(0.1.5)がレジストリに届いたのは39 日前です。

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-vault

English · Русский

Pull a Figma frame once. Then Claude Code, Codex or any MCP agent reads it as often as it likes: offline, with no Figma token and no rate limits.

  • Batch Figma requests once, then zero requests however many times the agent looks. Screens from one file share the structure read and image render batches.
  • Icons cost nothing. A real screen had 141 icons, and they took no extra requests.
  • Commit the vault and the team needs no Figma access. No licence, no token.

Try it in 30 seconds. You don't need a Figma token for this:

npm i -g figma-vault

figma-vault init && figma-vault demo && figma-vault check

How it works: the pull normalizes the frame and writes it to disk. The agent then reads it over MCP.

one developer:      figma-vault add <link>  →  vault  →  git commit

the rest of the team: the agent reads it over MCP, no Figma token needed

The problem

Figma's MCP server and REST API are rate-limited, and on some seats the limit is tiny. While building a UI, an agent goes back to the design all the time to check a margin, a colour or a font size. That can mean dozens of calls in one session. You hit the limit fast and the work stops.

With figma-vault, the number of Figma calls doesn't depend on what the agent does. Each design costs a fixed number of calls, spent once when you pull it.

Figma Dev Mode MCPfigma-vault
who calls Figmathe agent, while it worksthe CLI, once
how many callsgrows with the agent's workfixed per design
does every reader need a tokenyesno
works offlinenoyes

There's a side effect: the design becomes a file in your repository. A developer without access to the Figma file (no licence, no permissions, no token) still gets the whole design.

How it compares

Other projects work on the same problem. The Framelink Exporter plugin exports a design to a zip for offline use, and there are caching forks of Framelink's Figma MCP. figma-vault takes a different approach:

  • The vault is meant to be committed. One person pulls a design and the whole team reads it from git. Nobody else needs Figma access.
  • Icons cost zero requests. Vector paths come with the node tree, and the SVGs are built locally. Rendering them through Figma would eat the image-render limit.
  • The format is fixed and validated. doc.json follows a written contract, and a strict validator checks every file.

Install

Requires Node.js 22+.

npm i -g figma-vault
Option 1. Per project
figma-vault init

This creates .figma-vault/, registers the server in the project's .mcp.json (other entries are left alone), adds .env to .gitignore and installs a /figma slash command for Claude Code.

Use --no-command to skip the /figma command, so the agent gets only the read-only vault_* tools.

Option 2. Nothing in the repository
figma-vault init --global

The vault lives in ~/.figma-vault/ and the server is registered in the agent's user config. The project repository never learns the tool exists. Use this when you can't add config or dependencies to the project.

Usage

figma-vault add "https://figma.com/design/KEY/Project?node-id=127-4532"

Export several selections together; links from the same file share requests:

figma-vault add " " " "

Keep the node trees if image rendering is unavailable:

figma-vault add " " " " --no-assets

A SECTION/CANVAS link can expand into its frames (up to 20 by default):

figma-vault add " " --expand --max-screens 20

To get the link, right-click a frame in Figma and choose Copy link to selection.

figma-vault limits "<frame link 1>" "<frame link 2>" # probe access before pulling

figma-vault list # what has been pulled so far figma-vault check # verify the whole chain works figma-vault demo # add a demo design, no token needed

CLI output, errors and the MCP tool descriptions are in English by default; the /figma command it installs is in English too. README.ru.md is a translation of the documentation only.

After init, Claude Code has one command:

/figma <frame link> [more frame links...]

It pulls the design, reads it over MCP and builds the UI following the project's conventions.

What a pull costs in Figma requests

REST API limits depend on the token, plan and seat type. Both node reads and image renders are Tier 1 endpoints. figma-vault limits " " [more links...] spends one shallow node read plus up to ceil(S/40) screen render requests per file. It skips rendering SECTION and CANVAS selections as whole images; their child screens are not probed. A successful probe cannot guarantee the full pull: asset renders can require additional requests.

For a file with S selected screens and R unique raster assets, when each screen has fewer than 40 raster assets, a successful pull typically uses:

requests
selected node trees (/v1/files/:key/nodes)1 per file
screenshots and raster assets (/v1/images, batches of 40 IDs)ceil((S + R) / 40) per file
icons with local geometry0

For example, two screens in one file with three unique raster assets take one node read and one image render if the five IDs fit in a batch. At 40 or more raster assets on one screen, screenshots are rendered separately. --expand first probes containers with depth=1, adding at least one node request per file. SVG fallback renders, failed requests and retries can add calls. On a real 332-node design, 141 icons needed no render calls. After the pull, the agent never calls Figma again.

Check the result against the design

figma-vault verify compares the page the agent built with the design. The package ships no browser: the snapshot is taken with whatever the project already uses (Playwright, DevTools, the agent's browser tool).

  1. Mark the root element of the page with data-figma-node-id=" ", and the main blocks with the ids of their nodes.
  2. figma-vault verify --snippet prints a script. Run it on the page and save what it returns to a file.
  3. figma-vault verify --snapshot checks it:
  • texts: every visible text of the design must be on the page;
  • geometry: each marked block must match the design's position and size, within 2 px by default (--tolerance).

The result is PASS (exit code 0), FAIL (1, with a list of what is off) or INCOMPLETE (2, when nothing is marked and geometry can't be checked). The /figma command runs this step itself when the project has a browser.

Try it without a Figma token

You only need a token to pull new designs. Reading works without one, which is the normal setup for everyone except the person who pulls. So you can test the whole install without creating a token:

figma-vault init && figma-vault demo && figma-vault check

check starts the real MCP server as a child process and talks to it over the protocol. It exits with code 1 when something is actually broken, so you can use it in CI.

Token

In Figma, go to Settings → Security → Personal access tokens → Generate new token. The token needs only one scope: File content → Read-only.

Put it in a .env file in the directory you run the CLI from, as a line FIGMA_TOKEN=figd_..., or set it as an environment variable. If both are set, the environment variable wins.

What the agent gets

The MCP server exposes six read-only tools:

toolreturns
vault_listthe designs in the vault
vault_get_doca design's node tree; maxDepth limits the depth
vault_get_nodethe subtree of one node
vault_searchnodes found by name or text
vault_get_tokenscolours, typography, effects
vault_get_assetan image or an icon

The tree is normalized:

  • auto-layout becomes mode: row|column with gap and padding;
  • coordinates are relative to the parent;
  • styles, gradients and text come in one predictable shape, including differently coloured fragments inside one text (text.runs);
  • nodes hidden in Figma are kept with hidden: true. By default the agent doesn't get them, but a parent reports how many it has (hiddenOmitted). Pass includeHidden: true when building a reusable component whose optional slots are switched off on this screen.

The raw Figma response is saved next to it in raw.json for debugging.

On a real design, normalization shrinks the tree about 7 times:

raw.json   1.9 MB   raw Figma response

doc.json 256 KB what the agent reads

This saves more than disk space. An agent that reads 256 KB instead of 2 MB rebuilds the UI noticeably more accurately.

Vault layout

<vault>/

index.json list of designs / doc.json normalized tree, the main artifact raw.json raw Figma response screenshot.png render of the whole frame assets/ icons and images

The figma-vault/doc@1 schema is described in docs/CONTRACT.md (in Russian). A strict validator checks it. Vaults pulled with 0.1.0 (doc@0) are still read as they are; there is no need to pull them again.

doc.json stands on its own: the MCP server never reads raw.json and never touches the network.

Known limitations

This is an MVP. Here is what it can't do yet.

  • Rate limits. Node reads and image renders are both Tier 1. Either endpoint can return 429, and the block can last for days. Icons no longer depend on rendering, but the frame screenshot and raster images still do. The client retries up to three times, following Retry-After, and never sleeps for more than a minute. If Figma asks it to wait for days, the pull keeps the node tree, records the reason as a warning and doesn't fail. Run figma-vault limits before pulling.
  • Only colour and weight are kept for fragments inside a text. A gradient, a different font or an underline on part of a text is lost.
  • Designs with many component variants make a large `doc.json`. Hidden slots are kept now. On a 332-node screen that added 3,400 hidden nodes, and the file grew from 444 KB to 5 MB. The agent still gets about 100 KB by default, but the file goes into your git.

How it was tested

The fixture in the repository is synthetic: 29 nodes, enough to install the tool and confirm the chain works without a Figma token.

We checked accuracy separately, on two real designs whose content isn't published here. Results on a product screen with 332 nodes, 15 levels deep:

checkresult
design texts present in the rebuilt markup41 of 41
icons15 of 15, 0 broken links
placeholders needed1 (a raster avatar)
Figma requests in the earlier measured pull3 (before combined rendering)
doc.json against the contractpasses

Not checked: pixel-perfect match. We compare with Figma's reference render by eye, using npm run dev → /compare/ . figma-vault verify checks texts and the geometry of marked blocks, but no

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