Buyer-controlled shopping layer for AI agents
Northcinder gives MCP-compatible AI applications a shopping layer that ranks products using buyer budgets and preferences, explains exclusions, and requires approval for automated checkout.
From Github Awesome — GitHub Trending Weekly #45: comet, blobatar, cumora, herdr, barehands, ip-as-logo-skill, Aura, md2hd at 05:11
Problem: Agents may treat sponsored and organic search results equally or purchase items without sufficiently constrained approval.
For: Consumers and AI applications that need controlled product discovery and purchasing.
Soon you can unlock the full business plan.
Behind this: 6 build steps · how to validate demand · 1 thing the video never answers.