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)
Render web and SwiftUI evidence, run explicit visual judgment, and trace ADS UI decisions.
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": {
"agentic-design-system": {
"command": "npx",
"args": [
"-y",
"ads-mcp",
"--root"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add agentic-design-system -- npx -y ads-mcp --rootEste necesita valores en su línea de comandos, así que copia la configuración y complétalos.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"agentic-design-system": {
"command": "npx",
"args": [
"-y",
"ads-mcp",
"--root"
]
}
}
}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 necesita valores en su línea de comandos, así que copia la configuración y complétalos.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"agentic-design-system": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ads-mcp",
"--root"
]
}
}
}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 aa-on-ai, 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 (0.3.0) llegó al registro hace 3 meses.
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.
Local MCP adapter for Agentic Design System. It turns ADS rendering, deterministic gates, evaluation receipts, and decision provenance into a stable three-tool surface for coding agents.
Point the server at the project whose UI you want ADS to inspect:
npx --yes ads-mcp@0.3.0 --root /absolute/path/to/project
The MCP server connects without downloading a browser, so cold clients can discover its tools inside their startup budget. Before the first web render, verify or install Chromium once:
npx --yes ads-mcp@0.3.0 doctor
npx --yes ads-mcp@0.3.0 setup
If Chromium is missing, ads_render preserves a blocked run with the same setup command instead of timing out or fabricating evidence. Operators may also set PLAYWRIGHT_CHROMIUM_EXECUTABLE_PATH to an existing compatible Chromium executable.
From the ADS repository:
npm --prefix packages/ads-mcp install
npm --prefix packages/ads-mcp run build node packages/ads-mcp/dist/cli.js --root /absolute/path/to/project
Optional server flags:
--runs-dir changes the run directory under the project root. The default is .ads/runs.--allow-origin allows one non-local HTTP(S) origin. Repeat the flag for additional origins.--timeout-ms changes the per-tool timeout. The default is 30 seconds.--judge-command, --judge-provider, and --judge-model configure an explicit visual-judge adapter. --judge-arg is repeatable.--swiftui-command configures a SwiftUI snapshot adapter. --swiftui-arg and --swiftui-detector are repeatable; --swiftui-renderer labels the renderer in run manifests.Use the published package as a local stdio server. Replace the project path:
{
"mcpServers": { "ads": { "command": "npx", "args": [ "--yes", "ads-mcp@0.3.0", "--root", "/absolute/path/to/project" ] } } }
The server initialization instructions tell clients to render and evaluate first:
ads_render -> ads_evaluate
ads_trace is conditional. Call it only after reading the run manifest and confirming it contains at least one observed skill file, source file, and artifact file. Use the exact root-relative paths and excerpts captured in that manifest. Never invent provenance paths or substitute prompt labels or URLs.
Registry name: io.github.aa-on-ai/agentic-design-system.
For URL targets, the default state uses the original URL. Every requested non-default state is loaded as #state= , so the application should read the state parameter from location.hash.
The server is built on the split MCP TypeScript SDK v2 packages and starts through serveStdio. One binary accepts both legacy initialize clients and modern clients that negotiate the 2026-07-28 protocol through server/discover.
Run identifiers are durable handles backed by /.ads/runs, not MCP session identifiers. Render, evaluate, trace, and resource reads therefore recover across fresh client, server, and service instances on the same project filesystem.
The server advertises the stable MCP Apps extension as io.modelcontextprotocol/ui. Each ADS tool links to ui://ads/review, a self-contained text/html;profile=mcp-app resource that can display evidence, gates, findings, blockers, and decision traces inline. The app uses the 2026-01-26 Apps protocol and only requests server-tool and server-resource access from a compatible host. Hosts without Apps support retain the same three-tool and resource surface.
Current extension decisions are deliberate:
io.modelcontextprotocol/tasks extension. Render and evaluation remain bounded synchronous calls because they do not yet need an asynchronous lifecycle; ADS will adopt the extension only with a concrete long-running operation and a verified TypeScript SDK and host path. It does not use the deprecated core task vocabulary.ads_renderRender an allowed URL, root-confined TSX component, or startup-configured SwiftUI target. The tool captures requested states and viewports, runs the applicable platform gates, and returns ads://runs/... resources.
{
"target": { "type": "url", "url": "http://127.0.0.1:3000/orders" }, "states": ["default", "loading", "empty", "error"], "viewports": [{ "width": 390, "height": 844 }, { "width": 1280, "height": 800 }], "waitFor": "main", "provenance": { "observedSkillFiles": ["skills/design-review/SKILL.md"], "sourceFiles": ["brief.md"], "artifactFiles": ["src/Orders.tsx"] } }
A render is complete only when axe, overflow, landmarks and live regions, requested states, CLS, and touch-target gates have usable passing evidence. Missing browser dependencies, timeouts, and gate failures return a preserved blocked run instead of a false success.
SwiftUI uses the same public tool through an external snapshot adapter:
{
"target": { "type": "swiftui", "projectPath": "Orders.xcodeproj", "scheme": "Orders", "sourcePath": "Orders/ContentView.swift", "configuration": "Debug", "device": "iPhone 16 Pro" }, "states": ["default", "loading", "empty", "error"], "viewports": [{ "width": 393, "height": 852 }] }
ads_evaluateNormalize a rendered run and optionally compare it with another run. The default judge.mode: "none" remains model-free and returns needs_human when deterministic gates pass. judge.mode: "configured" invokes the visual-judge adapter selected at server startup and returns a typed verdict, rubric scores, findings, and next revision prompt.
{
"runId": "run_...", "compareToRunId": "run_optional_baseline", "rubric": { "task": "Make the orders workflow understandable on mobile and desktop", "criteria": [ { "name": "Design Quality", "weight": 35 }, { "name": "Originality", "weight": 30 }, { "name": "Craft", "weight": 20 }, { "name": "Functionality", "weight": 15 } ] }, "judge": { "mode": "configured" } }
The server validates exact rubric score keys, ADS finding categories, severities, evidence links, normalized screenshot regions, and verdict consistency before accepting the result. Missing, timed-out, or inconsistent judge output returns blocked, never a pass.
ads_traceVerify final decisions against files hashed during render. Rule files must have been recorded as observed, source and artifact files must be present and unchanged, excerpts must be exact, and all evidence URIs must resolve inside the same run.
For URL-only inspection without captured provenance, stop after ads_evaluate. If a client calls ads_trace anyway, the server returns one actionable trace not applicable error without resolving caller-invented paths.
{
"runId": "run_...", "context": "Orders responsive repair", "decisions": [ { "id": "mobile-primary-action", "decision": "Keep the primary action reachable on mobile.", "artifact": { "path": "src/Orders.tsx", "location": "Primary action row" }, "rule": { "path": "skills/design-review/SKILL.md", "excerpt": "All consequential controls need a visible, reachable interaction target." }, "sourceConstraint": { "path": "brief.md", "excerpt": "The primary action must remain reachable on mobile." }, "evidence": ["ads://runs/run_.../evidence"] } ] }
Run artifacts live under /.ads/runs/ /. Tools return short structured results and read-only resource links for manifests, rendered evidence, screenshots, evaluation receipts, reports, traces, and trace validation.
resources/list enumerates recent run artifacts so a client can recover them after losing a tool response. Resource URIs are stable logical identifiers rather than disk paths. For example, ads://runs/ /screenshots/default-390x844.png maps to /.ads/runs/ /evidence/default-390x844.png; clients should use resources/read.
--root, including symlink checks.judge.mode: "configured"; provider, model, and call count are written to the receipt.npm test
The suite covers legacy initialization and modern server/discover, the MCP App handshake and inline review action, a complete MCP client sequence, cross-server run recovery, Chromium URL and TSX component capture, command-adapter JSON exchange, configured visual verdicts, SwiftUI snapshot evidence, rendered comparisons, resource reads, repeated stage receipts, timeout and incomplete-evidence behavior, path traversal, symlink escape, origin denial, and trace failures.
ads-mcp setup; MCP startup never downloads Chromium.needs_human; automated judgment is deliberately opt-in.See the canonical API contract and command adapter protocol for the complete interfaces.