How long does setup take? Do I need to code?

About 3 minutes, no code required. Add one URL plus a permanent API key to your client's MCP config, restart, and 19 tools appear in the tool panel.

Model Context Protocol · 19 Amazon Data Tools

Amazon Data MCP
Data Extraction for Any AI Agent

The Amazon Data MCP gives your AI 19 Amazon / WIPO / PACER data tools — no code, no manual API calls. One line of config, zero install, zero dependencies.

Connect in 3 Minutes Get a Free API Key Book a Demo

Data Tools

AI Clients

0 min

To First Call

＞0M+

Daily Amazon Calls

One Config · Works With Any MCP-Compatible AI Tool

Claude Code Cursor Cline Windsurf Codex Hermes OpenClaw

These are just the common ones. MCP is an open standard — any MCP-compatible tool can connect. If yours isn't working, get in touch and we'll help you set it up.

Just Ask — Your AI Does the Rest

No More Copy-Paste. Let Your AI Pull the Data.

The old way: ask your AI to write code, run it yourself, paste the result back. With the Amazon Data MCP, you just talk to your AI — it calls the tools, chains them, and gives you the answer.

Pull data like you're chatting

No code · No tool switching

Claude Code · pangolinfo MCP ● connected

Why it's easier than calling the API by hand

Your AI picks & chains the tools
No orchestration code — multi-step analysis in a single prompt.
Parameters validated automatically
No digging through docs for required fields — the AI reads the schema.
Configure once, use everywhere
One credential shared across every MCP-compatible client.
Same engine, same pricing as the API
One data engine — you're only charged for successful calls.

19 Tools · One Server

Everything Your AI Needs to Win on Amazon

The Amazon Data MCP covers product detail, reviews, SERP, niche discovery, bestseller lists, AI Overview, maps and IP compliance — every tool callable in a single conversation.

Amazon Core Data · 5 tools

Search results, full product detail (title, price, bullets, A+, variants), paginated reviews with verified flags, seller storefronts, plus a scrape_url escape hatch for non-standard pages.

search_amazonget_amazon_productget_amazon_reviewslist_seller_productsscrape_url

Scrape API Reviews API

Category & Niche Analysis · 8 tools

Walk the full category tree, fuzzy-search categories, filter ASINs by price / rating / BSR, surface blue-ocean keywords and niches with competition scores, and pull Best Sellers & New Releases.

filter_nichesfilter_categoriessearch_categoriesget_category_childrenlist_bestsellerslist_new_releases+2 more

Niche Data API Product Research Tool

Search & SERP AI · 3 tools

AI Overview and full AI Mode SERP with answer-card sources, plus keyword trend time-series — spot demand before it shows up on Amazon.

ai_searchkeyword_trendssearch_amazon_alexa

AI Overview SERP API

Maps & IP Compliance · 3 tools

Local maps POI data, WIPO global trademark search for infringement screening, and PACER US patent-litigation lookup with full case timelines — clear a brand before you list.

search_local_mapswipo_searchpacer_search

WIPO API Docs Map API Docs

Plus pangolinfo_capabilities — a free self-inspection tool that lists every live tool and schema, so your AI always picks the right one.

MCP or API

Two Ways In — Pick What Fits Your Workflow

The Amazon Data MCP and the REST API run on the same data and the same credits — they just serve different workflows. Neither is better; the right one is the one that fits how you work.

Choose the MCP if you…

·do research, product picking or one-off lookups inside an AI tool like Claude or Cursor
·want the AI to pick and chain tools for you, with no orchestration code
·don't write code, or want the lowest setup effort

Choose the API if you…

·need batch scraping, scheduled jobs or a CI / data pipeline
·want to write data reliably into your own system, SaaS or database
·have an engineering team and want full control over requests and concurrency

Dimension	Via MCP	Via REST API
Typical usage	Called directly in an AI chat	Requested from code / scripts
Tool orchestration	AI selects and chains automatically	Orchestrated by your own program
Parameter discovery	AI reads schema, auto-validated	Pass params per docs, fully flexible
Credential management	Configured once in the client	Centralized server-side, easy to scope
Best for	Interactive research, ad-hoc data	Batch, automation, system integration

If your work leans toward batch and automation, the Scrape API is the better fit; if you'd rather have a no-code AI Skill, take a look at the Amazon Scraper Skill. You can switch between them anytime — the data and credits are fully shared.

Quickstart · 3 Minutes

Connected in Three Steps

Remote HTTP direct connect — zero install, zero dependencies, always on the latest version.

Get a permanent API key

Log into the Pangolinfo console → Account Center → API Key. Always use a permanent key — short-term keys expire and silently break your AI workflow.

Add the URL + key to your client

Open your AI client's MCP config and add one Pangolinfo entry. Field names vary slightly per client — see the snippet on the right.

Restart & verify

Restart the client and 19 tools appear in the MCP panel. Ask your AI to run pangolinfo_capabilities to confirm it's live.

Read the Full Guide Per-Client Setup

mcp.json

{
  "mcpServers": {
    "pangolinfo": {
      "url": "https://mcp.pangolinfo.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

Server URLmcp.pangolinfo.com/mcp

TransportStreamable HTTP

AuthBearer token (header)

InstallNone — remote only

Preset Workflows

Drop a Prompt, Run a Pipeline

Six ready-made prompts. Paste one into your AI and it chains the right tools automatically — no orchestration code.

Single-ASIN 360° Audit

Detail, review highlights, ranking and ad placement for one ASIN — in a single ask.

Blue-Ocean Keyword Scan

Surface low-competition keywords and niches, with demand and competition scores.

Trademark Infringement Check

WIPO + PACER chained to screen IP risk before you list.

AI Traffic Entry Analysis

Get the AI Overview / AI Mode answer sources for any keyword.

Full Seller Catalog

Map a competitor's entire active listing range from one seller ID.

Offline Store Coverage

Use maps POI data to assess a brand's physical retail footprint.

Why Teams Trust It

Reliable, Accurate, Transparent

99%

Scrape success rate
Proxies, retries & parsing fully managed

＞30M+

Daily Amazon calls
Production-grade scale that holds up

Per-call

billing · free testing
No charge for failures, pay as you go

WIPO+PACER

Official-source IP data
Global trademark + US litigation lookup

Trusted by Teams Building on Amazon Data

We had very demanding requirements around ad-data fields, frequency and multi-dimensional analysis. Pangolinfo met all of them, and let us build a competitor-monitoring system that genuinely fits our business.

Mr. Zhou

Technical Lead

Want more real-world results? See our case studies.

FAQ

Questions, Answered

What is the Amazon Data MCP, exactly?

The Amazon Data MCP is an MCP (Model Context Protocol) server that packages 19 Amazon / WIPO / PACER data tools so any AI agent can extract live Amazon data with one URL + API key — no install, no dependencies, remote HTTP direct connect.

Is the MCP the same data as the REST API? Which should I use?

Same engine, same data, same credits. Use the MCP for interactive research and ad-hoc extraction inside an AI agent; use the REST API for batch jobs, CI and automation. They're just different entry points.

Which AI clients are supported?

MCP is an open standard, so any MCP-compatible AI tool can connect — not just a fixed list. Claude Code, Cursor, Cline, Windsurf, Codex, Hermes and OpenClaw are all verified, sharing one config (field names vary slightly; see the docs). If yours isn't connecting, contact us and we'll help.

The tool list is empty / my AI can't see the tools.

Check the URL spelling, confirm you used a permanent key, and make sure the client fully restarted (not just a config reload). A 401 means the key is wrong or expired — regenerate it in the console.

How do credits work?

Each successful call costs the same credits as the matching REST API endpoint; batch tools scale linearly, and pangolinfo_capabilities is free. You're billed per successful call — pay as you go, with free testing to start.

Can a team share one connection? How do we isolate usage?

Yes. Issue a separate API key per teammate or environment to keep usage and limits cleanly isolated.

Still stuck? Browse the full docs, or open a ticket in the console — we usually reply within 24h.

Give Your AI
Live Amazon Data Today

The Amazon Data MCP takes one line of config and 3 minutes to connect, with 19 data tools ready to go. Let your AI pull the data — no more copy-paste.

Get a Free API Key See the 3-Step Setup

No install · Free testing · Works with any MCP-compatible AI tool

Amazon Data MCP
Data Extraction for Any AI Agent