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)
Run accessibility, contrast, and design token audits and file QA issues from your AI coding tool.
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 …”.
Funciona en Claude para web, escritorio y móvil:
https://api.overlayqa.com/mcpAbre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"overlayqa": {
"command": "npx",
"args": [
"-y",
"@overlayqa/mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add --transport http overlayqa https://api.overlayqa.com/mcpclaude mcp add overlayqa -- npx -y @overlayqa/mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"overlayqa": {
"url": "https://api.overlayqa.com/mcp"
}
}
}Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"overlayqa": {
"command": "npx",
"args": [
"-y",
"@overlayqa/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": {
"overlayqa": {
"type": "http",
"url": "https://api.overlayqa.com/mcp"
}
}
}Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"overlayqa": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@overlayqa/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://api.overlayqa.com/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
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.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con el dominio overlayqa.com (el registro comprueba quién es dueño del dominio)
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
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.
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 (0.7.0) llegó al registro hace 14 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.
OverlayQA MCP is a Model Context Protocol server that gives your AI coding agent accessibility and design-QA superpowers. Ask Claude Code, Cursor, or Windsurf to audit any URL for WCAG and color-contrast issues, then read, assign, discuss, label and resolve issues in your OverlayQA projects without leaving your editor.
You: Scan staging.acme.com for accessibility issues, then open issues for the criticals.
Agent: scan_accessibility → 7 violations (2 critical, 3 high), score 71/100. scan_and_create_issues → created 2 issues in "Acme Web":
You: List the open criticals. Agent: list_issues(status=open, severity=critical) → 2 issues.
One click:
Or add it to your editor's MCP config manually:
Claude Code (.mcp.json in your project root) / Cursor (~/.cursor/mcp.json) / Windsurf (~/.codeium/windsurf/mcp_config.json):
{
"mcpServers": { "overlayqa": { "command": "npx", "args": ["@overlayqa/mcp@latest"] } } }
Any MCP-compatible client works the same way. On first run a browser tab opens to connect your OverlayQA account (free, no card): pick the workspace, allow access, and the connection lasts 30 days. Credentials cache at ~/.overlayqa/auth.json; the access token is short-lived and refreshes in the background. Disconnect an editor at any time from Connected AI apps in the dashboard (app.overlayqa.com/mcp/connect).
Tools your agent can call. Each is written so the model picks the right one from natural language.
Audit
| Tool | What it does |
|---|---|
scan_accessibility | Run a WCAG audit (axe-core) on any URL. Returns violations with severity, WCAG success criteria, and an overall score. |
scan_contrast | Check color-contrast ratios across a page. Returns the failing foreground/background element pairs. |
audit_tokens | Audit a live URL's design-system tokens. Returns a 0-100 token-health score and findings (inconsistent font sizes, text colors, spacing, font families, border radii) with severity. Audits the live page only. |
File and manage issues
| Tool | What it does |
|---|---|
scan_and_create_issues | Scan a URL and auto-create an issue for every violation above a severity threshold. |
create_issue | File a QA issue with title, severity, type, description and optional assignee. |
list_issues | Page through issues filtered by status, severity, type, labels, assignee, creator, page, creation time, or active/finished/ignored state. Each issue says who filed it and whether it still needs a reply. |
update_issue | Edit supplied issue fields, assignment, ignored state or status. Takes a UUID or display id such as OQ-12. |
create_project | Create a project for a site URL. |
list_projects | List all projects on your team. |
list_labels | Read the workspace label library, assigned labels, and your permissions. |
create_label | Create a reusable workspace label. |
set_issue_label | Apply or remove one label without changing issue text or other labels. |
rename_label | Rename a workspace label (owner/admin). |
delete_label | Delete a workspace label and its assignments; keep the issues (owner/admin). |
AI review workflows
| Tool | What it does |
|---|---|
run_auto_review | Start Auto Review using project settings, ignored findings and already-filed issues. |
compare_visual | Start visual comparison against a Figma frame, saved design or uploaded image, with optional measured spacing. |
get_review_result | Retrieve progress, findings and screenshot evidence from a saved review. |
Both start tools require projectId, a public url, and a new UUID requestId. They return a jobId immediately. Read it with get_review_result until complete or failed. Reuse the same request ID and inputs after a lost response; do not start another review just to read its result. Reviews use your scan allowance and do not automatically file issues. Visual comparison captures at the design’s authored width and returns AI findings, not a deterministic pixel-difference CI verdict.
Every tool also accepts an optional context argument: one sentence on why the agent is calling it. OverlayQA records that sentence, the tool name, your account, project and issue ids, counts and scores, the URL a scan runs on, and your editor's name and version (from the MCP handshake) as product analytics. The sentence is capped and stripped of email addresses and credential-like strings before it is stored. Nothing else travels: not your conversation, not your code, not the tool's replies. Full detail: overlayqa.com/privacy.
| Scans | Create issues & projects | |
|---|---|---|
| Free | 3 / day, forever | no |
| 14-day trial | 30 / day | yes |
| Paid | 10-30 / day by plan, unlimited on Pro | yes, with export to Linear / Jira / Asana / Notion |
Which editors does it work with? Claude Code, Cursor, Windsurf, and any MCP-compatible client (it speaks standard stdio MCP).
Is it free? Yes to start: 3 accessibility/contrast scans per day with no card. A 14-day trial raises that to 30 scans per day and unlocks issue and project creation. After that, creating issues and projects needs a paid plan (Pro has unlimited scans).
What does it actually scan? Any public URL. Accessibility uses axe-core mapped to WCAG success criteria; contrast checks foreground/background ratios and returns the failing element pairs.
Do I need an account? Yes, a free OverlayQA account. On first run a browser tab opens to connect it; the connection lasts 30 days and can be disconnected from the dashboard at any time.
Does it work with the OverlayQA Chrome extension? Yes. The MCP server and the extension share the same projects and issues, so anything you file from your editor shows up in the extension and the dashboard, and vice versa.
The MCP server is one way into OverlayQA. The [Chrome extension](https://chromewebstore.google.com/detail/overlayqa/pbnjikbncbjaaimelhlkfihgdkocmmei) is the other: click any element on a live page and it captures a screenshot plus the CSS, DOM, and metadata into a dev-ready issue in seconds, and runs AI accessibility and design-system audits right on the page. Same projects, same issues, shared with this server.
MIT
Use list_labels with a project UUID to see that workspace's labels and your permissions. create_label creates a reusable label; set_issue_label applies or removes it from one issue without changing its other labels or text. Workspace owners and admins can use rename_label and delete_label; deletion removes the label's assignments, not its issues. list_issues accepts labelIds (match any), including unlabeled. Shared reports preserve the names present when shared.
Local verification can set OVERLAYQA_API_BASE and an isolated OVERLAYQA_AUTH_FILE; neither changes the default production endpoint or normal saved login.
Requires the matching issue-parity API deployment. Existing scans and status updates remain compatible with 0.2.0.
| Tool | What it does |
|---|---|
get_issue | Read description, ownership, labels, ignored state, screenshots, captured element/CSS, viewport evidence, and the issue's comments. |
list_issues | Filter by one or more statuses, severities or types; labels; assignee (me, unassigned, or user ID); creator; and active/finished/ignored state. Follow hasMore with the next page. |
list_project_members | Find teammate user IDs for assignment and mentions in a readable project's workspace. |
create_issue | Choose an assignee, use null for Unassigned, or omit to assign to yourself. Default type is General. |
update_issue | Change any supplied title, description, severity, type, status, assignee or ignored flag. Omitted fields remain unchanged. Ignoring never resolves an issue. Setting verified records a status; it does not run a scan. |
move_issue | Move by stable issue UUID into another writable project in the same workspace; retain comments and evidence. Read the returned display ID afterward. |
list_comments | Read the discussion, audience, mentions and attachment metadata. |
create_comment | Post with explicit internal (Team only) or public (Team and clients) audience, mentions, and optional PNG/JPG/PDF files. |
update_comment / delete_comment | Edit or delete your own native comments. Edits preserve audience and files. |
get_comment_attachment | Read a native comment file as filename and base64 bytes under the issue's access rules. |
For mentions, use @[userId] in the text and include the same ID in mentionedUserIds. Comment creation requires a UUID requestId: reuse it when retrying that same submission after a lost response, so a retry does not post twice. Attachments are base64 bytes with filename and MIME type, up to ten PNG/JPG/PDF files and 10 MiB total per comment.
list_issues defaults to all states for compatibility. Use state: "active" for open/in-progress issues that are not ignored. finished includes resolved/verified/closed issues that are not ignored; ignored selects the independent ignore flag. All supplied filters intersect. Pages start at 1 and contain up to 100 issues; an empty filtered page is not a complete-project result unless hasMore is false.
To
Solo se muestra el principio; lee el resto en el repo