Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
제작자가 쓴 설명(영어 원문)
Run accessibility, contrast, and design token audits and file QA issues from your AI coding tool.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://api.overlayqa.com/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"overlayqa": {
"command": "npx",
"args": [
"-y",
"@overlayqa/mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http overlayqa https://api.overlayqa.com/mcpclaude mcp add overlayqa -- npx -y @overlayqa/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"overlayqa": {
"url": "https://api.overlayqa.com/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"overlayqa": {
"command": "npx",
"args": [
"-y",
"@overlayqa/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"overlayqa": {
"type": "http",
"url": "https://api.overlayqa.com/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"overlayqa": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@overlayqa/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://api.overlayqa.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 overlayqa.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.7.0)은 14일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요