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)
Design quality gate for AI-generated UI: score any URL on 45 deterministic checks, A–F grade.
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.
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Funciona en Claude para web, escritorio y móvil:
https://www.designesy.org/api/mcpAbre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"designesy-org": {
"command": "uvx",
"args": [
"designesy-mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add --transport http designesy-org https://www.designesy.org/api/mcpclaude mcp add designesy-org -- uvx designesy-mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"designesy-org": {
"url": "https://www.designesy.org/api/mcp"
}
}
}Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"designesy-org": {
"command": "uvx",
"args": [
"designesy-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": {
"designesy-org": {
"type": "http",
"url": "https://www.designesy.org/api/mcp"
}
}
}Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"designesy-org": {
"type": "stdio",
"command": "uvx",
"args": [
"designesy-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.
ChatGPT solo se conecta a servidores en internet:
https://www.designesy.org/api/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
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Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Nombres y descripciones de las herramientas tal como los informó el servidor el 7 nov 2026. Los escribió el creador, no nosotros; los mostramos como texto sin formato.
designesy_catalogList the 23 published Designesy packages with versions, URLs, and statuses. Use this to discover what Designesy publishes before fetching a specific contract. When NOT to use: if you already know which package you need, skip this and call designesy_contract directly. Read-only: n
designesy_contractGet the Designesy design-system contract: the canonical tokens, motion, acoustic, takt, cadence, typography, components, and verification rules that define what the Designesy org considers legitimate design. Use this when you need the actual contract values (token names and value
designesy_design_reviewGet the Designesy Design Review rubric for a qualitative design critique: eight dimensions (Purpose, Clarity, Context, Inclusion, System coherence, Durability, Delight, Responsibility), the output format, and the verification checklist, from the published Design Review kit. Use t
designesy_skill_mdGet the Designesy SKILL.md: the agent-skill-format export of the design-system contract, for a user to save into .agents/skills/ or a system prompt so a coding agent builds UI to the contract (tokens, anti-patterns, rules, verification). Use this when the user wants the contract
designesy_agent_jsonGet the Designesy agent discovery document (/.well-known/agent.json) as reference data: the org identity, authority, discovery endpoints, package index, machine exports, permission policy, contact, and citation templates. Use this when integrating with or enumerating Designesy an
designesy_llms_txtGet the Designesy /llms.txt brief as reference data: what Designesy is, canonical links, topics, the published package list, machine exports, standing rules, and contact. Use this first when you don't know what Designesy is; at a few thousand characters it is the cheapest orienta
designesy_llms_full_txtGet the Designesy /llms-full.txt brief as reference data: authority, discovery endpoints, topics, every published package with its links, standing rules, and anti-patterns. Use this for a fuller picture of the Designesy ecosystem when the short brief from designesy_llms_txt is no
designesy_scoreScore a live URL against the Designesy design contract: a deterministic 45-check verification engine that returns a numeric score, letter grade (A-F), and per-check breakdown. Use this to audit whether a website or AI-generated UI complies with a real design contract (tokens, mot
designesy_tokens_scoreValidate a design token file against the W3C Design Tokens Community Group (DTCG) 2025.10 Final Community Group Report (the spec's first stable version, published Oct 28 2025 as a Candidate Recommendation and considered stable). Returns 10 conformance checks (t01-t10) with PASS,
designesy_a11y_scoreGet the Designesy WCAG 2.2 AA accessibility verification framework: 11 conformance checks (a01-a11) plus a ready-to-run Playwright + axe-core 4.13.0 script template targeting your URL. Use this to audit a site for accessibility violations. When NOT to use: for a full design-contr
designesy_motion_scoreValidate one Lottie animation file against the Designesy motion contract: its ten checks (m01-m10), drawn from the Lottie spec v1.0.1 and the Designesy §16 Ten Non-Negotiable Motion Standards. Each check returns PASS, FAIL, WARN or SKIP under the contract's own name for its id: m
designesy_drift_scoreScore a live URL for AI-generated UI drift. Its 12 checks detect the four documented 2026 drift failure modes: token fabrication (var() references with no fallback to custom properties declared nowhere: not in a stylesheet, a block or a style attribute), within-session drift (spa
designesy_readiness_scoreScore a URL for design-system AI readiness, the 6th maturity axis (zeroheight 2026). 10 checks probe the target origin for machine-readable artifacts: DTCG token files, llms.txt, agent.json, MCP endpoint (tools/list), DESIGN.md, token $description, component schemas, sitemap.xml,
designesy_guardrailsGenerate a frozen build-contract bundle for AI coding agents from any design system URL (the product layer). Ingests a site, extracts its :root tokens, and emits 6 outputs: (1) DTCG-format token file, (2) Stylelint config generated from token values, (3) AGENTS.md-format rules wi
designesy_monitor_scoreScore a URL for continuous design-drift governance, the temporal layer over the drift radar. Re-runs the 12 drift checks (d01-d12) on the URL and computes 10 monitor checks (m01-m10): history supplied, last run fresh, drift delta vs baseline, trend slope (3-run trajectory), new v
designesy_compareDiff two design systems from live URLs, using the only URL-scoped design-token diff engine. Fetches both URLs in parallel, extracts their :root custom properties, and produces a structured diff across 8 dimensions: tokens added (in A not B), removed (in B not A), renamed (heurist
designesy_reportGenerate a unified design-intelligence report for a single URL, the synthesis capstone. Fires /score (45-check audit), /drift (12-check drift radar), and /readiness (10-check AI readiness) in parallel, then computes a weighted composite: score × 0.5 + drift × 0.3 + readiness × 0.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub LE-VAI, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Respondió en 553 ms (HTTP 200)
No hace falta iniciar sesión
Leímos 17 descripciones de herramientas y no encontramos instrucciones ocultas para la IA
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 3 de 3 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.
Funciona de las dos formas: instálalo en tu computadora o conéctate a la versión en la nube.
El repo de GitHub cambió por última vez –, y la última versión (1.13.10) llegó al registro hace 17 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
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.
A 12-second loop, recorded from the homepage. It plays once and rests on the verdict, and shows a still frame if you prefer reduced motion. Watch it run on designesy.org .
Design quality gate for AI-generated UI: score any URL on 45 deterministic checks, A–F grade. Live at designesy.org.
Score any URL in 5 seconds — no install:
npx @designesy/score@latest https://your-site.com
Add to Claude Desktop, Cursor, or any MCP client:
# Claude Code, remote (zero install, no auth):
claude mcp add --transport http designesy https://www.designesy.org/api/mcp
pip install designesy-mcp && designesy-mcp
Clone this repo? The .mcp.json at root adds the local server (uvx designesy-mcp) to Claude Code as a project server. Claude Code asks you to approve it the first time you open the project. It needs uv.
Gate your CI on design-contract compliance:
- uses: LE-VAI/designesy-org@v1
with: url: https://your-app.vercel.app min-score: 70 min-grade: C post-comment: true # posts a summary comment on PRs (default)
The same 45-check engine powers an MCP server (17 tools for AI agents), a CLI with no required dependencies (npx @designesy/score), and a GitHub Action.
Designesy Contract Check is a GitHub Action that scores any URL against a 45-check design-system contract (tokens, motion, accessibility, cadence, takt, poise, identity, interaction, performance, responsive, semantic, security, spec, copywriting) and fails your CI workflow when the score or grade drops below your threshold. No LLM in the loop: every check is a published, deterministic rule, so the same page gives the same verdicts.
designesy_score — Score a live URL against the 45-check design contract. Returns score, grade (A–F), and per-check breakdown.designesy_tokens_score — Validate a DTCG design-token file. 10 conformance checks against W3C DTCG 2025.10.designesy_a11y_score — Get the WCAG 2.2 AA accessibility framework and Playwright/axe-core script template.designesy_motion_score — Validate a Lottie animation file. 10 checks against Lottie spec v1.0.1 and §16 motion standards.designesy_contract — Get the design-system contract (tokens, motion, takt, cadence, typography, verification), whole or only the top-level sections you name.designesy_catalog — List the published Designesy packages with versions and URLs (the count comes back in package_count).designesy_design_review — Get the 8-dimension qualitative design review rubric.designesy_skill_md — Get the contract as an agent-skill-format SKILL.md for Cursor, Claude Code, or Replit.designesy_agent_json — Get the /.well-known/agent.json discovery document.designesy_llms_txt — Get the short /llms.txt agent brief.designesy_llms_full_txt — Get the full /llms-full.txt brief as reference data (its ingest steps and paste-ready agent prompt stay in the published file).designesy_drift_score — Score a live URL for UI drift: 12 checks on its custom properties and var() references.designesy_readiness_score — Score a URL for AI readiness: 10 probes for machine-readable design artifacts (DTCG tokens, llms.txt, agent.json, an MCP endpoint, DESIGN.md and more).designesy_guardrails — Generate a build-contract bundle for coding agents from a site's tokens: DTCG tokens, Stylelint config, AGENTS.md rules, component contract, anti-patterns and DESIGN.md.designesy_monitor_score — Re-run the drift checks against earlier snapshots and compute 10 monitor checks; alerts come back in the result.designesy_compare — Diff the tokens of two live URLs: added, removed, renamed, changed values, scale and contrast drift, and the score delta.designesy_report — One composite report for a URL (score × 0.5 + drift × 0.3 + readiness × 0.2), with an interactive dashboard in hosts that support MCP Apps.| Tool | Description |
|---|---|
designesy_score | Score a live URL against the 45-check design contract — returns score, grade (A–F), per-check breakdown |
designesy_tokens_score | Validate a DTCG design-token file (10 conformance checks, W3C DTCG 2025.10) |
designesy_a11y_score | Get the WCAG 2.2 AA accessibility framework + Playwright/axe-core script template |
designesy_motion_score | Validate a Lottie animation file (10 checks, Lottie spec v1.0.1 + §16 motion standards) |
designesy_contract | Get the design-system contract (tokens, motion, takt, cadence, typography, verification), whole or only the top-level sections you name |
designesy_catalog | List the published Designesy packages with versions and URLs |
designesy_design_review | Get the 8-dimension qualitative design review rubric |
designesy_skill_md | Get the contract as an agent-skill-format SKILL.md (for Cursor/Claude Code/Replit) |
designesy_agent_json | Get the /.well-known/agent.json discovery document |
designesy_llms_txt | Get the short /llms.txt agent brief |
designesy_llms_full_txt | Get the full /llms-full.txt brief as reference data (its ingest steps and paste-ready agent prompt stay in the published file) |
designesy_drift_score | Score a live URL for UI drift (12 checks on custom properties and var() references) |
designesy_readiness_score | Score a URL for AI readiness (10 probes for machine-readable design artifacts) |
designesy_guardrails | Generate a build-contract bundle for coding agents from a site's tokens (6 files) |
designesy_monitor_score | Re-run drift checks against earlier snapshots; 10 monitor checks; alerts in the result |
designesy_compare | Diff the tokens of two live URLs, with the score delta |
designesy_report | Composite report for one URL (score, drift, readiness), with an MCP App dashboard |
The live site is verified against the design system contract — 45 deterministic checks with provenance back to tokens. Both badges read the site's own recorded score from /api/badge?site=designesy.org, which carries the date it was measured; for a fresh reading with every check, score designesy.org now. See the methodology page for how the score is computed.
$type: sound (net-new vs W3C DTCG 2025.10), Cuelume 0.2 engine (MIT), interaction-only. The acoustic token document adds 9 extended feedback cues, 19 in all$type: springSee the contract page for the full adoption history.
Gate your CI on design-contract compliance:
- uses: LE-VAI/designesy-org@v1
with: url: https://your-app.vercel.app min-score: 70 min-grade: C post-comment: true # posts a summary comment on PRs (default)
Scores a URL via the live /api/score engine and fails the workflow if the score or grade drops below your threshold. Runs on node24, posts PR comments via bare GitHub REST API (zero dependencies). See action/README.md for full usage.
Score a URL from the command line — for local development, pre-commit hooks, or scripts:
# No install needed:
npx @designesy/score designesy.org
npx @designesy/score linear.app --min-score 70 --min-grade B
npx @designesy/score vercel.com --format canonical --json
No required dependencies. The engine runs locally, with no Designesy server; the checks that need a browser return MANUAL. See --help for all options and packages/score/README.md for the full reference.
From a clone of this repo: the engine's dist/ folder is not committed, so build it first.
npm --prefix packages/score ci
npm run build:score node packages/score/dist/cli.js designesy.org
The older cli/designesy-score.mjs (npm run score) reads the same build. It is superseded by @designesy/score. Its --api flag (or the SCORE_API env var) is an opt-in remote fallback that sends the URL to a scoring server instead of scoring locally; it is off by default.
The site is a Next.js 16 App Router app (React 19, webpack build), deployed on Vercel. The npm packages and the MCP server live beside it.
apps/site the site, its API routes (/api/score, /api/mcp) and its build checks (scripts/)
packages/score @designesy/score: the scoring engine and CLI (npm) packages/cli @designesy/cli: one CLI for tokens and score (npm) packages/tokens @designesy/tokens: DTCG token validator (npm) package
Solo se muestra el principio; lee el resto en el repo