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)
Generate AI video and images on Dare (Seedance, Veo, Kling, Hailuo), billed to your own Dare credits
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.
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.
터미널에서 이 명령어를 실행하세요
브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 avi-aggarwal14 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
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.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.2.0)은 23일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 MCPB도 있어야 해요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ 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.
Generate video and images from inside Claude, billed to your own [Dare](https://trydare.com) credits.
Ask Claude for a shot and it makes one — Seedance 2.5, Seedance 2.0, Veo 3.1, Kling 3.0 Pro, Hailuo 2.3 for video, Nano Banana 2, GPT Image 2 and Seedream 5 Pro for stills. No new subscription, no API key to buy: it spends the Dare credits you already have.
> make me a 10 second 720p cinematic shot of rain on a neon Tokyo street, 16:9
Estimated 110 credits (you have 4,280). Generating… Done: https://storage.trydare.com/…/rain-tokyo.mp4
Works with Claude Code, the Claude desktop app, and Cowork.
[!IMPORTANT]
Dare does not publish a developer API. This server talks to the same private endpoint the
Dare web app uses, signed in as you with your own browser session. It works today — every
tool here has been exercised against Dare's live servers, including a generation run to
completion — but Dare can change that contract without notice, and using it may sit outside
Dare's terms of service. Your account, your credits, your call.
You need [Node.js](https://nodejs.org) 20 or newer. Check with node --version; if that errors, install the LTS build from nodejs.org (on a Mac, brew install node also works).
Then run one command in your terminal:
npx dare-mcp-server setup
That is the whole install. The wizard:
~/.dare-mcp/config.json with owner-only permissions,Restart Claude when it finishes. In Claude Code, /mcp should now list dare.
npx dare-mcp setup works too — dare-mcp is a short alias that forwards to the same package.
Claude desktop app, no terminal: download dare-mcp-server-0.2.0.mcpb from the mcpb-0.2.0 release, open it, and paste your Dare token when asked. It is also listed on the official MCP Registry as io.github.avi-aggarwal14/dare-mcp-server.
Step 2 in detail: finding your Dare token
The server signs in as you, using the long-lived Clerk __client cookie from your browser. It mints a fresh 60-second session token for every call, exactly as the Dare web app does.
https://clerk.trydare.com. (In Firefox and Safari the tab is called Storage instead.)__client and copy its Value — a long string starting eyJ. Copy the value, not the name.The cookie is valid for about a year, so this is a one-time step unless you sign out of Dare.
Treat it like a password. It grants full access to your Dare account and can spend your credits. The wizard keeps it in one file with 0600 permissions and deliberately does *not* write it into your Claude config, so your Claude settings stay safe to sync or share.
Prefer to do it by hand?
Claude Code
claude mcp add dare --scope user -- npx -y dare-mcp-server
Claude desktop app — edit the config file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json{
"mcpServers": { "dare": { "command": "npx", "args": ["-y", "dare-mcp-server"] } } }
Then quit and reopen the app.
Both of these read your token from ~/.dare-mcp/config.json. If you would rather pass it as an environment variable (CI, containers, a shared machine), set DARE_CLIENT_TOKEN instead — it takes precedence over the stored file. See Configuration.
Running from source
git clone https://github.com/avi-aggarwal14/dare-mcp-server.git
cd dare-mcp-server npm install # builds automatically npm run setup # same wizard
Point Claude at node /absolute/path/to/dare-mcp-server/dist/cli.js instead of npx.
npx dare-mcp-server check
Mints a token, reads your balance, lists a few library items. Run it any time the tools start failing — it is the fastest way to tell a stale cookie from a Dare outage.
Once Claude has restarted, just ask in plain English:
> how many Dare credits do I have?
what video models can I use, and what do they cost?
make a 5 second clip of a paper boat going down a rain gutter, cinematic, 16:9
use ~/shots/hero.png as a reference and animate the character walking toward camera
what's in my Dare library from this week?
Claude will quote you a credit estimate before spending anything, and you can always ask it to do a dry run first.
| Tool | Spends credits | What it does |
|---|---|---|
dare_list_models | no | Models with durations, qualities, aspect ratios, reference limits |
dare_estimate_cost | no | Local credit estimate before you commit |
dare_get_credit_balance | no | Current balance |
dare_generate_video | yes | Text-to-video, Seedance 2.5 by default; optional reference media. dry_run: true previews the spec and price for free |
dare_generate_image | yes | Stills via Nano Banana 2, GPT Image 2, Seedream 5 Pro. Supports dry_run |
dare_get_generation | no | Poll status, get the output URL |
dare_list_generations | no | Paginated library listing |
dare_cancel_generation | no | Stop an in-flight job |
dare_delete_generation | no | Delete from the library (destructive) |
dare_upload_media | no | Upload a reference image/clip/audio, returns a storage_key |
dare_list_uploads | no | Previously uploaded references |
dare_delete_upload | no | Delete an uploaded reference (destructive) |
dare_list_projects | no | Your Dare projects |
| Command | What it does |
|---|---|
npx dare-mcp-server setup | Interactive first-run wizard |
npx dare-mcp-server check | Verify credentials, print credit balance |
npx dare-mcp-server | Start the MCP server on stdio (Claude runs this for you) |
npx dare-mcp-server http | Optional HTTP transport for self-hosting |
npx dare-mcp-server --help | Everything above |
Credentials are read in this order, first hit wins:
DARE_CLIENT_TOKEN in the environment~/.dare-mcp/config.json (written by setup)The stored file is plain JSON, so you can edit it directly:
{
"clientToken": "eyJ...", "maxCreditsPerCall": 500, "uploadRoots": ["/Users/you/Movies", "/Users/you/Pictures"] }
Everything else is environment variables:
| Variable | Default | Purpose |
|---|---|---|
DARE_CLIENT_TOKEN | from stored config | The __client cookie from clerk.trydare.com. Required one way or the other. |
DARE_CONFIG_DIR | ~/.dare-mcp | Where the stored config lives. |
DARE_MAX_CREDITS_PER_CALL | 500 | Refuse any single generation estimated above this many credits. 0 disables. |
DARE_UPLOAD_ROOTS | — (blocked) | Comma-separated directories dare_upload_media may read local files from. Empty means local file reads are refused. |
DARE_ALLOW_URL_UPLOADS | true | Allow uploading from a public URL. Private and link-local addresses are always refused. |
DARE_MAX_UPLOAD_BYTES | 536870912 | Largest upload accepted. |
DARE_SESSION_TOKEN | — | A ready-made 60s session JWT. Testing only. |
DARE_SESSION_ID | auto | Pin a specific sess_... id instead of auto-detecting. |
DARE_REQUEST_TIMEOUT_MS | 120000 | Per-request timeout. |
DARE_SERVER_URL | https://api.trydare.com | Dare RPC base. |
DARE_CLERK_FAPI_URL | https://clerk.trydare.com | Clerk Frontend API base. |
DARE_MAX_CREDITS_PER_CALL is a client-side circuit breaker against a model talking itself into a 10-variation 30-second batch (3,200 credits). The default of 500 allows any single Seedance 2.5 clip while blocking runaway batches; raise it deliberately when you want a batch. The estimate is conservative in the one place it cannot be exact: a video reference whose length Dare cannot report is priced at 30 seconds, which is Dare's own assumption. The guard fails closed: if a reference clip's duration cannot be read, the generation is refused rather than submitted on a guessed estimate.
DARE_UPLOAD_ROOTS is an allowlist, not a convenience. Without it, dare_upload_media refuses local paths entirely — otherwise a prompt-injected model could ask the server to upload your shell environment or Claude config, both of which contain DARE_CLIENT_TOKEN. Point it at the folders that actually hold your source footage.
Dare prices every job as provider cost in dollars, times 1.5, converted at 750 credits per $49.99, rounded up to the nearest 1, 5 or 10 credits. The server reproduces that formula exactly; it was checked against real charges (a 4s 480p Seedance 2.5 clip billed 20 credits, as predicted). Typical figures:
| Job | Credits |
|---|---|
| Seedance 2.5, 4s, 480p | 20 |
| Seedance 2.5, 8s, 720p | 90 |
| Seedance 2.5, 10s, 720p | 110 |
| Seedance 2.5, 30s, 480p | 150 |
| Seedance 2.5, 30s, 720p | 320 |
| Seedance 2.0 Fast, 5s, 480p | 15 |
| Seedance 2.0, 15s, 4K | 530 |
| Veo 3.1, 8s, 1080p | 80 |
| Kling 3.0 Pro, 5s | 20 |
| Hailuo 2.3 Pro (fixed 6s) | 15 |
| Nano Banana 2 image, 2K | 4 |
| GPT Image 2, 1:1 | 5 |
Attaching a video reference applies a 0.6x multiplier on Seedance models, and on Seedance 2.5 the reference clip's own seconds are billed on top. Image and audio references do not change the price.
Always sanity-check with dare_estimate_cost before a batch.
1. dare_upload_media { file_path: "/Users/you/shots/hero.png" }
-> storage_key: "uploads/abc123..."
Seedance 2.5 takes up to 50 references (30 image, 10 video, 10 audio), each clip 2–30s, 30 combined seconds per kind. With a video reference attached it derives duration and aspect ratio automatically. Seedance 2.0 models take 12 (9/3/3), 15s combined, and need a visual reference alongside any audio one. Veo 3.1 takes up to 3 images and is then fixed at 8 seconds. Kling and Hailuo take no references at all.
A stateless streamable-HTTP entrypoint is included for hosting the server behind a URL:
DARE_CLIENT_TOKEN='eyJ...' \
DARE_MCP_BEARER_TOKEN="$(openssl rand -hex 32)" \ PORT=3000 npx dare-mcp-server http
POST /mcp, health check at /health. The server refuses to start without a bearer token of at least 24 characters, since these tools spend real money. DNS-rebinding protection is on by default and scoped to localhost; widen it with DARE_ALLOWED_HOSTS / DARE_ALLOWED_ORIGINS w
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요