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MCP server that lets AI assistants (Claude, GitHub Copilot, Cursor) generate Ridvay Studio posters and designs

MCP (Model Context Protocol) server that lets AI assistants — Claude Code, Claude Desktop, GitHub Copilot (VS Code agent mode), Cursor, and any other MCP client — create and edit Ridvay Studio posters, flyers, and social designs straight from a chat conversation.
Every design comes back as a working share link (ridvay.com/d/…) plus links to open and
edit it in the Studio editor.

Every frame of that GIF was designed and rendered by this MCP server — a four-page design
composed as design IR, saved with create_poster, then exported page by page with
export_poster. No screen recording, no image editor.
| Tool | What it does |
|---|---|
get_design_guide | Start here — the design-IR authoring spec (element types, backgrounds, fonts, worked example) that teaches your assistant to compose designs itself. |
create_poster | The preferred path: your assistant composes the design as Ridvay design IR — Ridvay only stores, renders, and shares it. Fast, free, full creative control. |
generate_poster | Fallback: Ridvay's AI designs from a text brief (slower, consumes the account's generation credits). |
recreate_poster | Turn an existing design image (poster photo, screenshot, export — file path or URL) into an editable design: text becomes editable, shapes become vectors, imagery is re-rendered fresh. Slow (1–4 min), uses generation credits. |
refine_poster | Natural-language edit of an existing design (design_id, instruction). |
check_poster | Report whether a design's AI images finished rendering and return its links + view count (Views: N). |
export_poster | Render a design to a downloadable PNG/JPEG at its native pixel size (scale 1–4, default 2). |
animate_poster | Add motion (entrance/exit, page transitions, morph) — blank for a tasteful default, or describe it. |
export_video | Render an animated design to a downloadable H.264 MP4 (optional looped soundtrack). |
check_export | Poll an async export_poster / export_video job for its download URL. |
Your AI client is the designer; Ridvay is the save/render/share backend. Client-authored
designs may still include prompt image slots — Ridvay renders those server-side after
creation. generate_poster remains for when the assistant can't compose the design itself.
Export & motion: export_poster gives you the actual poster image at its real dimensions
(e.g. a 1080×1350 PNG), not the share page. For animation, either include motion fields when
you compose the design (see the guide) or call animate_poster, then export_video for an MP4.
size accepts 1080x1080 (default), 1080x1920 / story, 1080x1350, 1920x1080,
a4, slide, or any WxH.
Every shared design also gets an always-current image URL — each fetch re-resolves the
design's live data bindings ({{time.now}}, countdowns, JSON feeds, declared {{vars}}),
so an embedded image never goes stale (re-rendered at most every 60 s):
https://ridvay.com/img/{designId}.png
Declared vars are filled from query params, which makes personalized email images a one-URL job with your ESP's merge tags:
https://ridvay.com/img/abc123.png?name=*|FNAME|*
A .jpg variant plus page, scale, w, and quality params are supported — see
get_design_guide ("Live data bindings + live image URL") for the bindings format (including
the reserved param names that can't double as binding/var keys).
Every live-image load and every /d/ share-page view counts toward the design's view
count — check_poster reports it as Views: N.
Sign in and create a key at ridvay.com/user/api-keys. Designs generated through MCP appear in your own My designs.
Claude Code
claude mcp add --scope user ridvay --env RIDVAY_API_KEY=sk-ridvay-… -- npx -y ridvay-mcp
Claude Desktop — add to claude_desktop_config.json
(macOS: ~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"ridvay": {
"command": "npx",
"args": ["-y", "ridvay-mcp"],
"env": { "RIDVAY_API_KEY": "sk-ridvay-…" }
}
}
}
VS Code / GitHub Copilot agent mode — add to your user mcp.json
(Command Palette → "MCP: Open User Configuration"), then enable ridvay in the
Copilot Chat tools picker:
{
"servers": {
"ridvay": {
"type": "stdio",
"command": "npx",
"args": ["-y", "ridvay-mcp"],
"env": { "RIDVAY_API_KEY": "sk-ridvay-…" }
}
}
}
Then ask your assistant things like:
Generate a story-size poster for our weekend flash sale — 30% off everything, Saturday only.
A poster, straight from a brief
Generate a story-size poster for our weekend flash sale — 30% off everything, Saturday only.
A promo video, end to end — design, animation, and MP4 in one turn:
Using the ridvay MCP, create a 3-page 1080x1920 promo video design about [topic]. Page 1: a bold hook. Page 2: three or four key points with accent bars. Page 3: a worked example plus a call to action. Dark navy background, blue accents, Poppins headlines. Then animate it with snappy staggered entrances and morph transitions, and render it to MP4.
An existing design, made editable again
Recreate ~/Desktop/last-years-flyer.png as an editable design, then change the date to October 3rd and set the headline in our brand blue.
An image that never goes stale — live bindings resolve on every fetch:
Build a 1080x1080 status card with today's date and a countdown to our September 1 launch, then give me the live image URL.
A longer walkthrough of the video example, with the agent's actual tool sequence, is on the blog: Ridvay MCP: free AI design generation from Claude Code.
| Var | Required | Meaning |
|---|---|---|
RIDVAY_API_KEY | yes | Your Ridvay API key (sk-ridvay-…). |
RIDVAY_API_URL | no | Default https://api.ridvay.com. |
RIDVAY_WEB_URL | no | Base for returned links, default https://ridvay.com. |
RIDVAY_SUB_USER_ID | no | Admin/platform keys only: act on behalf of a specific user. |
generate_poster / create_poster create an unlisted public share link by
default so the chat reply contains a working /d/{id} URL. Pass share: false to keep
a design private to your account (only the Studio edit link is returned).check_poster reports on and, if
needed, re-triggers that pass.Content and usage data from the MCP (such as prompts and generated designs) may be used to
improve Ridvay's products, services, and AI features. Requests include basic attribution:
the connecting MCP client's name/version and, when the assistant provides the optional
agent_model argument, the model id that authored the design.
npm install
npm run build # emits dist/
npm test # vitest unit suite
node dist/index.js # run the stdio server directly (needs RIDVAY_API_KEY)
MIT © Ridvay
FAQs
MCP server that lets AI assistants (Claude, GitHub Copilot, Cursor) generate Ridvay Studio posters and designs
The npm package ridvay-mcp receives a total of 189 weekly downloads. As such, ridvay-mcp popularity was classified as not popular.
We found that ridvay-mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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