Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
Generate AI video and images on Dare (Seedance, Veo, Kling, Hailuo), billed to your own Dare credits
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
リンク先は作者自身のファイルです。私たちが置いたり再パッケージしたりしたものではありません。ファイルを開くと、Claude Desktopがインストールします。
ターミナルでこれを実行します
ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月9日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント avi-aggarwal14 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.2.0)がレジストリに届いたのは24 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにMCPBも必要です。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
冒頭だけを表示しています。続きはリポジトリで読めます