Server data from the Official MCP Registry
Your agent turns product photos into on-brand listing images, ads, and short videos on one canvas.
About
Your agent turns product photos into on-brand listing images, ads, and short videos on one canvas.
Remote endpoints: streamable-http: https://app.berrys.io/api/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-generalberrys-berrys-canvas": {
"url": "https://app.berrys.io/api/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Berrys AI — MCP Server
Your agent turns product photos into on-brand listing images, ads, and short videos on one canvas.
Berrys connects to the AI agent you already use: Claude, Claude Code, ChatGPT, Codex, Cursor, Gemini CLI, or VS Code. You plan the work with your agent. Berrys builds it on your visual canvas and runs the generation, with your credits and your approval.
What it does
- Listing production — one product photo becomes hero, lifestyle, and detail shots for your storefront.
- Campaign rollouts — hand over a brief; your agent plans the shot list, generates coordinated image sets and copy variants on a shared canvas.
- Short product videos — storyboard a multi-shot clip and keep the product identical across cuts: the last frame of one shot seeds the next.
- Live review — the agent shares a canvas link after each step so you can edit, undo, or restore.
Connect
The server is remote (Streamable HTTP + OAuth). There are no keys to copy — you sign in to Berrys in the browser on first connect.
Server URL: https://app.berrys.io/api/mcp
| Client | How to add |
|---|---|
| Claude (web/desktop) | Settings → Connectors → Add custom connector → paste the URL |
| Claude Code | claude mcp add --transport http berrys https://app.berrys.io/api/mcp |
| ChatGPT | Settings → Apps & Connectors → Advanced → Developer mode → Create connector with the URL |
| Codex | codex mcp add berrys --url https://app.berrys.io/api/mcp then codex mcp login berrys |
| Cursor | Add .mcp.json from this repo (or paste the URL in MCP settings) |
| VS Code | Add the mcpServers entry from .mcp.json |
| Gemini CLI | gemini mcp add --transport http berrys https://app.berrys.io/api/mcp |
First check (free): ask your agent "List my Berrys projects."
Repo layout
| Path | Purpose |
|---|---|
.mcp.json | MCP server descriptor (auto-detected by Cursor Directory and Open Plugins clients) |
skills/berrys/SKILL.md | Agent skill — how agents should drive Berrys (quotes, approvals, canvas workflows) |
rules/berrys.mdc | Cursor rule for a consistent agent experience |
Spending credits
Building and browsing are free. Only generation spends Berrys credits. The agent shows an itemized quote first and waits for your explicit confirmation before submitting a charge.
Documentation
- Setup guides for every client: berrys.io/plugins
- User guide: app.berrys.io
- Registry listing:
io.github.GeneralBerrys/berrys-canvason the Official MCP Registry
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