Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Beschreibung vom Entwickler (englisches Original)
Generate AI video and images on Dare (Seedance, Veo, Kling, Hailuo), billed to your own Dare credits
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Die .mcpb-Datei des Entwicklers herunterladen
Der Link führt zur Datei des Entwicklers selbst; wir hosten sie nicht und verpacken sie nicht neu. Öffne die Datei, dann installiert Claude Desktop sie.
Führe das in deinem Terminal aus
Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto avi-aggarwal14 bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.2.0) kam vor 23 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du MCPB auf deinem Computer.
In derselben Kategorie: Figma Context MCP, Claude Real Video, Figma MCP Server
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
Nur der Anfang wird gezeigt; den Rest findest du im Repo