Prototipo · Versión preliminar: todos los servidores del registro oficial, sincronizados cada 30 minutos. Las reseñas y las cuentas llegarán en una etapa posterior.
PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

figma-vault

de NBheyversión 0.1.5i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.NBhey/figma-vault

Instalar

Resumen

Descripción del creador (original en inglés)

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

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Diseño, imágenes y audio

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • npmNode.js instalado (para el comando npx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

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

Ejecuta esto en tu terminal

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

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

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

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

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

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub NBhey, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Diseño, imágenes y audioi

  • Más estrellas que el 0% de los otros 2195 servidores de esta categoría
  • Publicado en el registro más recientemente que el 40% de los otros 2195 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 2195 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro figma-vault?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.1.5) llegó al registro hace 39 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

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

Se ejecuta en tu computadora★ 16.165MITActualizado hace 5 meses
Instalar

Claude Real Video

de HUANGCHIHHUNGLeo

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

Se ejecuta en tu computadora★ 2284MITActualizado hace 2 meses
Instalar

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

Se ejecuta en la nube★ 2152Actualizado hace 13 meses
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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

Solo se muestra el principio; lee el resto en el repo

Pregunta a PopNx