Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Descripción del creador (original en inglés)
Figma designs pulled once into a local vault; AI agents read them offline with no rate limits
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿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 mcpPégalo 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.
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.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub NBhey, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
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.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
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).
El repo de GitHub cambió por última vez –, y la última versión (0.1.5) llegó al registro hace 39 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server
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.
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.
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.
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
Solo se muestra el principio; lee el resto en el repo