ec-cube
EC-CUBE is the most popular e-commerce solution in Japan
Glucose-aware ordering. For your body, not against it.
CommerceTypeScript · CSSGitHub @DeepanIsCoolOnlineOwner unconfirmed
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EC-CUBE is the most popular e-commerce solution in Japan
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The maker's introduction consists of the line above. Read the repository README for more details. Repository README ↗
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Read the full README ↗A food-ordering assistant for people managing PCOS, prediabetes or glucose on a CGM, built on Swiggy's MCP servers.
Live: https://glycocart.vercel.app
You sign in with your Swiggy account, answer a short questionnaire, and chat. The agent searches real Swiggy restaurants and dishes for your saved delivery address, estimates how each dish is likely to affect your glucose, and builds a cart with the better options.
mcp.swiggy.com/food): dish and restaurant search, full menus, cart, coupons, order history and tracking.mcp.swiggy.com/im, Instamart): product search, your usual items, lower-GI swaps.mcp.swiggy.com/dineout): restaurants and table availability. Dineout publishes no menus, so GlycoCart gives an ordering brief from the cuisines, never a dish list.GlycoCart will not place your order, because Swiggy orders cannot be cancelled through the API. Swiggy's docs say to phone support (080-67466729) to cancel. The live Dineout server has no cancel_booking either, so it will not book a table. The agent builds the cart and you check out in the Swiggy app.
This is enforced by the absence of the tools, not by prompt wording: place_food_order, checkout, confirm_order, book_table, create_cart and the payment tools are never registered. npm run test:cart-safety asserts it.
It will not invent a number. Swiggy publishes no per-dish nutrition. GlycoCart matches a dish name against a reference table of common Indian dishes (IFCT-2017 and USDA derived, src/lib/catalog.ts). A dish it cannot recognise is shown as unscored. A category match is labelled a rough estimate. Every glucose figure is an estimate from a closed-form model (src/lib/glycemic.ts) driven by your questionnaire answers, not a clinical measurement and not medical advice.
streamText with multi-step tool calling)@modelcontextprotocol/client with OAuth to Swiggy's MCP serversnpm install
cp .env.local.example .env.local # fill in the values
npm run dev # http://localhost:3000
| Variable | Purpose |
|---|---|
NVIDIA_API_KEY | Server-side LLM key (nvapi-...). Free tier at build.nvidia.com |
NVIDIA_MODEL, OPENROUTER_MODEL | Optional model overrides |
NEXT_PUBLIC_APP_URL | Public origin. Must match the redirect URI registered with Swiggy |
SWIGGY_TOKEN_SECRET | 32-byte hex. Encrypts session cookies and salts the pseudonymous user id |
DATABASE_URL | Neon Postgres connection string. Tables are created on first use |
Swiggy OAuth redirect URIs:
http://localhost:3000/api/auth/swiggy/callbackhttps://glycocart.deepansadhukhan.com/api/auth/swiggy/callbacknpm test && npm run build
Sixteen suites, each written against a bug that shipped. Among them: the forbidden-tools check (which also covers any route that names a tool at runtime), the single-restaurant cart guard, WCAG AA contrast in both themes, the rule that the server key is never spent on a paid provider, and the avoid-list and diet matching.