Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Beschreibung vom Entwickler (englisches Original)
Figma designs pulled once into a local vault; AI agents read them offline with no rate limits
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"figma-vault": {
"command": "npx",
"args": [
"-y",
"figma-vault",
"mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add figma-vault -- npx -y figma-vault mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"figma-vault": {
"command": "npx",
"args": [
"-y",
"figma-vault",
"mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"figma-vault": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"figma-vault",
"mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto NBhey bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.5) kam vor 39 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Figma Context MCP, Claude Real Video, Figma MCP Server
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
The Figma MCP server brings Figma design context directly into your AI workflow.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.
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
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 MCP | figma-vault | |
|---|---|---|
| who calls Figma | the agent, while it works | the CLI, once |
| how many calls | grows with the agent's work | fixed per design |
| does every reader need a token | yes | no |
| works offline | no | yes |
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.
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:
doc.json follows a written contract, and a strict validator checks every file.Requires Node.js 22+.
npm i -g figma-vault
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.
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.
figma-vault add "https://figma.com/design/KEY/Project?node-id=127-4532"
figma-vault add " " " "
figma-vault add " " " " --no-assets
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.
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 geometry | 0 |
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.
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).
data-figma-node-id=" ", and the main blocks with the ids of their nodes.figma-vault verify --snippet prints a script. Run it on the page and save what it returns to a file.figma-vault verify --snapshot checks it:--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.
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.
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.
The MCP server exposes six read-only tools:
| tool | returns |
|---|---|
vault_list | the designs in the vault |
vault_get_doc | a design's node tree; maxDepth limits the depth |
vault_get_node | the subtree of one node |
vault_search | nodes found by name or text |
vault_get_tokens | colours, typography, effects |
vault_get_asset | an image or an icon |
The tree is normalized:
mode: row|column with gap and padding;text.runs);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>/
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.
This is an MVP. Here is what it can't do yet.
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.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:
| check | result |
|---|---|
| design texts present in the rebuilt markup | 41 of 41 |
| icons | 15 of 15, 0 broken links |
| placeholders needed | 1 (a raster avatar) |
| Figma requests in the earlier measured pull | 3 (before combined rendering) |
doc.json against the contract | passes |
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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