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)
Create client-editable photo and video galleries from Cursor or Claude Code, then embed them.
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.
DROPL_API_KEYAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"dropl": {
"command": "npx",
"args": [
"-y",
"@dropl/mcp"
],
"env": {
"DROPL_API_KEY": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add dropl --env DROPL_API_KEY=your-value -- npx -y @dropl/mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"dropl": {
"command": "npx",
"args": [
"-y",
"@dropl/mcp"
],
"env": {
"DROPL_API_KEY": "your-value"
}
}
}
}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.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"dropl": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@dropl/mcp"
],
"env": {
"DROPL_API_KEY": "your-value"
}
}
}
}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 6. Nov. 2026
Der Registry-Name wurde über die Domain dropl.io bestätigt (die Registry prüft, wem die Domain 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.
Das musst du eintragen: DROPL_API_KEY
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 (0.6.0) kam vor 33 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js 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:★ 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.
Create client-editable photo and video galleries from Cursor or Claude Code, then embed them.
Dropl MCP lets AI coding agents set up Dropl for client websites: create client sites and showcases (embeddable photo and video galleries), upload whole folders of media with categories, fetch embed code for HTML, Next.js, WordPress, Webflow, and Framer, manage collections like menus, inventory, and events, and work through client feedback by fixing it in code, replying, and marking it done. Clients then update their own photos and videos from a phone, without a CMS.
It's an MCP server for Dropl, which gives you client-editable galleries, video hosting for agencies (an ad-free Vimeo alternative), and client feedback, for people who build client sites in code or on WordPress, Webflow, and Framer. Uploads go straight from your computer to Dropl's storage, are resumable, and are safe to re-run. The agent is told to show you a plan and get your confirmation before it creates anything or uploads.
Or add it by hand: see Client configuration. Requires Node.js 20.3 or later. Nothing to install: your MCP client runs it with npx.
Then sign in once from a terminal. This opens your browser so you can approve access; the key is saved on this computer.
npx -y @dropl/mcp login
The agent plans first and asks before it creates, uploads, or changes a collection's fields.
Choose one:
npx -y @dropl/mcp login. It shows a code, opens the Dropl approval page, and saves the resulting API key. Use --client "Cursor" to label it, --no-browser to just print the link, and --api-url for a non-production API.DROPL_API_KEY in the MCP server's environment. When it's set, it takes precedence over the saved sign-in.Only account owners and admins can approve sign-ins or create API keys. Keys can be limited to specific client sites and scopes.
Other commands:
npx -y @dropl/mcp whoami # show the connected account and key
npx -y @dropl/mcp logout # remove the saved key from this computer
logout only deletes the local copy. To disable a key, revoke it in Dropl → Settings → API keys.
In .cursor/mcp.json (this project) or ~/.cursor/mcp.json (all projects):
{
"mcpServers": { "dropl": { "command": "npx", "args": ["-y", "@dropl/mcp@latest"] } } }
With an API key instead of the browser sign-in:
{
"mcpServers": { "dropl": { "command": "npx", "args": ["-y", "@dropl/mcp@latest"], "env": { "DROPL_API_KEY": "dropl_live_…" } } } }
Don't commit a config file that contains a key. Use the user-level ~/.cursor/mcp.json, or keep the project file out of version control.
claude mcp add dropl -- npx -y @dropl/mcp@latest
With an API key:
claude mcp add dropl -e DROPL_API_KEY=dropl_live_… -- npx -y @dropl/mcp@latest
Use a stdio server with command npx and arguments ["-y", "@dropl/mcp@latest"]. Add DROPL_API_KEY to its environment if you aren't using the browser sign-in.
| Tool | What it does |
|---|---|
plan_migration | Scans a local folder without uploading anything. Returns per-folder photo/video counts and sizes, unsupported files, proposed categories, and the steps to run. With layout: "projects" (or a projects/ folder of project folders), plans one project per folder with its title, slug, and counts. |
whoami | Connected account, user, role, key name/prefix, scopes, and site restriction. |
list_sites / create_site | List client sites, or create one (name, optional domain). |
list_showcases / create_showcase | List a site's showcases with their type and project counts, or create one (title, type gallery or projects, layout, grid fit, category filters, page size). |
get_showcase / update_showcase | Summarize a showcase (items by status and category, projects, photos without alt text, failures), or change its settings. |
list_showcase_items | Page through a showcase's items: id, kind, status, file name, the local path it was uploaded from, alt text, and categories. Filter by kind, missing alt text, category, or text. |
update_items | Set alt text and add or remove categories on many items in one call, by the ids uploads return (library video ids work too). Missing categories are created. |
create_category | Add a category to a showcase; an existing one with the same name is reused. |
tag_items | Add or remove categories on showcase items, by the ids uploads return. |
upload_photos | Upload photos from files, folders, or globs into a showcase, with optional alt text and categories per photo (files). Optionally creates categories from folders. In a projects showcase, pass project to upload into that project. Supports dry runs and resuming. Returns each file's showcase item id. |
list_videos | List a site's videos. |
upload_videos | Upload videos to a site's library in resumable parts, and optionally add them to a showcase with categories (or to one of its projects with project). Returns each file's video id (and showcase item id). |
add_videos_to_showcase | Add existing library videos to a showcase, or to one of its projects. |
get_embed_code | The embed snippet for a video or a showcase (or one category or project), plus how to paste it in HTML, React/Next.js, WordPress, Webflow, and Framer. For projects showcases, projectUrl (e.g. /work/{slug}) links index cards to a page per project. |
list_projects | A projects showcase's projects in order (excerpt, details, categories, counts), or one project with its full description and its photos and videos. |
create_project / update_project | Add a project (title, subtitle, description, slug, details, categories), or change one, including its cover. An existing project with the same title or slug is reused. |
reorder_projects / reorder_project_items | Set the order of the projects, or of the photos and videos inside one project. Partial lists go first; the rest keep their order. |
get_project_details | A projects showcase's custom details (fields like location or year) and their version, including edits made in the dashboard. |
plan_project_details / apply_project_details | Preview a change to the project details without saving, then apply it with the expectedVersion you read. Keys never change; removing values needs confirmDestructive. |
get_usage | Storage and bandwidth used against your plan, and whether uploads are suspended. |
list_collections | A site's collections (menus, inventory, events) with item counts and plan limits. |
get_collection_schema | A collection's current fields and schemaVersion, including edits made in the dashboard. |
plan_collections / apply_collection_plan | Preview creating or changing collections as a plain-text diff, then apply it. Destructive changes need confirmDestructive; plans made from an outdated schema are refused. |
add_collection_items | Bulk-add items with per-item errors. Dry runs by default; retries don't duplicate. |
list_collection_items | List items with search, status and field filters, sorting, and paging. |
get_collection_code | TypeScript types and a Next.js fetch example for a collection. |
undo_collection_change | Undo the most recent schema change when no data would be lost. |
list_feedback | Feedback clients left on a site (comments, text changes, notes). Defaults to open and in progress; filter by status, type, and page. |
get_feedback | One request with its full context: page, clicked element (selector and text), device, screenshot and photos, and the thread. |
reply_to_feedback | Reply in a request's thread, e.g. to ask the client to clarify. The client is emailed; retries don't post twice. |
update_feedback_status | Set open, in progress, done, or won't do, with a short note. Marking done emails the client. |
Collections need an API key with the collections:read scope to read, collections:write to add items, and collections:schema to create or change collections.
Feedback needs feedback:read to read and feedback:write to reply or change status. Keys created before Feedback existed don't have these scopes; run npx -y @dropl/mcp login again to get a new key. Ask your agent to *"fix the open Dropl feedback"*: it reads each request, applies text changes in the code, asks the client when something is unclear, and marks the fixed ones done.
upload_photos and upload_videos return a files list mapping each local path to its Dropl id, with a status of uploaded, already_uploaded (skipped on a re-run, id included), failed (with error), or pending (dry run). The first 100 are listed; omitted and more say how to page through the rest with list_showcase_items.
{
"uploaded": 2, "alreadyUploaded": 1, "altTextSet": 2, "files": { "count": 3, "items": [ { "path": "Decks/cedar.jpg", "id": "0190…a1", "status": "uploaded" }, { "path": "Decks/railing.jpg", "id": "0190…a2", "status": "uploaded" }, { "path": "kitchen.jpg", "id": "0190…a0", "status": "already_uploaded" } ], "omitted": 0, "more": null } }
Set alt text and categories per photo at upload time:
{
"showcaseId": "…", "files": [ { "path": "/abs/photos/cedar.jpg", "alt": "Cedar deck with glass railing at dusk", "categories": ["Decks"] }, { "path": "/abs/photos/texture.jpg", "alt": "" } ] }
Or later, without uploading again: update_items with { "showcaseId": "…", "items": [{ "id": "0190…a1", "alt": "Cedar deck at dusk", "addCategories": ["Decks"] }] }. Write concise, descriptive alt text (what the photo shows, without "image of"), and leave it empty for purely decorative photos. Alt text is at most 500 characters. Changing alt text needs the showcases:write scope.
Supported uploads: JPEG, PNG, WebP, AVIF, and HEIC photos up to 20 MB each, checked by file contents as
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