Your store, addressable by agents.
Every storefront ships with a Model Context Protocol server. An AI agent can discover your store, search the catalogue, build a cart, onboard the shopper, and take payment — PayU for INR, Stripe for the rest.
Buying is moving into the chat.
Shoppers buy inside AI clients — Claude, Cursor, and future assistants. Most stores can't be reached there. JYT exposes your catalogue and checkout as MCP tools. An agent can complete a real purchase (cart, customer, payment, order) with no integration work.
An agent checkout, end to end.
Discover your store
An agent calls list_stores and resolves yours by name, domain, or handle — no API keys to hand-hold. The platform's core store is the default.
Search and add to cart
semantic_search takes natural language (‘handwoven indigo scarf’) and returns ranked matches. The agent creates a cart and adds the line item in two tool calls.
Onboard the shopper
set_customer_details asks the user for name, email, and address, then reports what's missing. One-step onboarding, inside the conversation.
Take payment, confirm the order
The agent initialises a payment session — a PayU link or UPI QR for INR, a Stripe hosted page elsewhere — then polls until the cart becomes an order.
Agent-ready, not agent-afterthought.
The MCP server is part of the platform. Onboard as a partner and your storefront is agent-addressable from day one. Read tools are open; write tools need a publishable key.
Agents drive the full cart→payment→order flow with PayU INR (link, UPI intent, QR) and Stripe hosted checkout — Apple/Google Pay included.
Custom tools expose raw materials and the production story, so an agent can answer ‘who made this?’ with the passport, not a guess.
Agents address stores by name across the network. Your storefront, the core store, and every partner sit on the same agent-ready rail.
Any MCP-speaking client.
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Put your store where the agents are.
We’ll connect an agent to a demo storefront and walk it through a full purchase — search, cart, payment, order — live.