Amazon data with AI agents: Claude Code, Cursor and MCP
Amazon data with AI agents: Claude Code, Cursor and MCP
How an agent queries Amazon data through MCP, what it needs from a data API, reproducible conversation scripts for research tasks, and the limits that remain once real data is connected.
Amazon's Official Selling Partner MCP: What It Covers and What It Does Not
Amazon now publishes an official MCP connector and twelve seller Skills. This post lists what they can read and change in your own account, how writes are gated, and which questions still need market data from somewhere else.
An E-commerce Data API for AI Agents: Six Things an Agent Needs That a Human Developer Does Not
A developer reads the documentation once and writes code. An agent decides what to call on every run, from whatever the tool list tells it. This post covers six things a data API has to provide for that to work, with examples from a live MCP server, and one default that trips agents up.
Querying Amazon Data in Claude Code Without Writing Code
Two integration paths, the first prompt you can copy, and how to confirm real data came back. No code, and no endpoint paths to memorize.
Handing Product Research to an AI Agent: One Conversation From Seed Term to ASIN Shortlist
A copyable multi-step prompt that walks an agent through keyword expansion, category sizing, product filtering, and sales estimation, ending in a shortlist with reasons.
Competitor Analysis in Cursor or Codex: A Reproducible Conversation Script
Start from one ASIN and have an agent find competing products, reverse-look-up their traffic terms, compare traffic structure, and tell you which terms you are missing.
Why General-Purpose LLMs Get Amazon Data Wrong, and Three Limits That Remain After You Connect Real Data
A model inventing ASINs, prices, and sales figures is structural, not a glitch. Here is why — and the three boundaries that still apply once a real data API is wired in.