This topic examines how modern AI shopping agents interact with major retail platforms—Google’s Shopping Agent initiatives (UCP), Amazon’s marketplace, Shopify’s merchant-first platform—and the specialist agents that handle price tracking, product discovery and checkout automation. It’s about the architecture and integrations that let conversational assistants research inventory, compare prices, and complete purchases across ecosystems. Relevance (2026): conversational commerce and agent-capable models now routinely need live web access, real‑time research, and cross‑platform actions. Developers and retailers are adopting MCP-style servers, browser automation and API orchestration to give assistants robust, auditable access to product data while wrestling with privacy, platform lock‑in and regulatory scrutiny. Key tooling and roles: Pipedream provides API integration and event-driven orchestration to connect payment, inventory and merchant services at scale; Playwright MCP Server and Firecrawl enable browser automation and structured web extraction for pages without clean APIs; Browser MCP (Agent TARS) acts as an agent kernel that mounts MCP servers to unify those capabilities; Perplexity’s MCP Server supplies web-wide research and context for up-to-date answers; WhatsApp MCP enables conversational commerce over messaging channels. These components map to the Chat API Integrations and Tool Integrations categories required for production agents. Practical contrasts: Amazon remains a vertically integrated marketplace with entrenched fulfillment and closed APIs; Shopify emphasizes merchant control and extensible storefront APIs; Google-oriented shopping agents aim to surface comparative signals and discovery across sources. Specialized agents focus on narrow tasks—bargain hunting, niche vertical catalogs, or workflow automation—often stitching the tools above to bridge gaps in data access and user intent handling. Understanding these tradeoffs is essential for building accurate, compliant and user-friendly AI shopping experiences.