Pangolinfo Amazon Data MCP

io.github.Pangolin-spgPublished by GitHub account Pangolin-spgv0.7.9Updated Oct 24, 2026

Real-time Amazon, WIPO & PACER data for AI agents — 19 tools via the MCP protocol.

The publisher's own server: Amazon Mcp

Overview

AI-generated overview

Pangolinfo Amazon Data MCP gives an assistant 19 tools for live Amazon product, review, category, SERP, WIPO trademark and PACER litigation data.

What you can do
  • Search Amazon products, fetch full product detail, paginated reviews, seller storefronts and scrape Amazon pages
  • Explore categories and niches: filter niches and categories, search categories, browse category trees and paths, list bestsellers and new releases
  • Run search and SERP queries: AI Overview/AI Mode results, keyword trend time series and Alexa for Shopping
  • Look up local map POI data, WIPO trademarks and PACER patent litigation
  • List available live tools and call any tool by name
When to use it
Useful for e-commerce research, product and niche discovery, keyword trend analysis, and trademark or patent-litigation checks where an assistant should pull current Amazon and IP data instead of relying on memory.
Requirements
A Pangolinfo API key, obtained by signing up at the vendor's site. Remote use connects to the hosted Streamable HTTP endpoint with the key as a Bearer token in the Authorization header (or an api_key query parameter). Local stdio use runs the npm bridge package with the PANGOLINFO_API_KEY environment variable set. Network access required.
Before you install
The API key is a paid-service credential: it is sent as a Bearer token or in a URL query parameter, so avoid exposing it in shared configs or logs, and restart the client after changing it. Calls are billed at the same pricing as the REST API, so usage can cost money. Queries and looked-up terms are sent to Pangolinfo's servers.

Installation

In SourceWeft

  1. Open Pangolinfo Amazon Data MCP in the dashboard and add it to a workspace.
  2. Connect Authorization token credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.Pangolin-spg%2Fpangolinfo-mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "pangolinfo-amazon-data": {
      "type": "http",
      "url": "https://mcp.pangolinfo.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

README

pangolinfo-mcp

[Listed on mcpservers.org]

Python client for the Pangolinfo Amazon Data MCP server — 19 Amazon / WIPO / PACER data tools callable from Python, no AI client required.

Built and maintained by PANGOLIN INFO TECH PTE. LTD.

Why this package

The Amazon Data MCP gives AI agents 19 data tools via the MCP protocol. This package lets Python developers call those same tools from code — no Claude, Cursor, or any AI client needed.

  • 19 tools in one client: Amazon product, reviews, search, niches, bestsellers, AI SERP, WIPO, PACER and more
  • Zero dependencies beyond httpx — no MCP SDK required
  • Sync interface (async coming soon)
  • Same engine, same pricing as the REST API and MCP server

Installation

pip install pangolinfo-mcp

Quick start

1. Get a permanent API key

Sign up at tool.pangolinfo.com and grab a permanent API key from Account Center.

2. Use the client

python
from pangolinfo_mcp import PangolinfoMCPClient
client = PangolinfoMCPClient(api_key="your_permanent_api_key")
# Amazon product detailproduct = client.get_amazon_product("B0DYTF8L2W")print(product["title"])
# Keyword searchresults = client.search_amazon("wireless earbuds")
# Best sellers in a categorybestsellers = client.list_bestsellers(category_id="172282")
# WIPO trademark checktrademarks = client.wipo_search("Nike")
# PACER patent litigationcases = client.pacer_search("Apple Inc.")
# List all available toolstools = client.list_tools()
client.close()

Context manager

python
with PangolinfoMCPClient(api_key="your_key") as client:    product = client.get_amazon_product("B0DYTF8L2W")

All 19 tools

Amazon Core Data (5)

MethodDescription
client.search_amazon(keyword)Search Amazon products
client.get_amazon_product(asin)Full product detail
client.get_amazon_reviews(asin)Paginated reviews
client.list_seller_products(seller_id)Seller storefront
client.scrape_url(url)Scrape any Amazon page

Category & Niche Analysis (8)

MethodDescription
client.filter_niches(**metrics)Blue-ocean niche discovery
client.filter_categories(**metrics)Category filtering
client.search_categories(query)Full-text category search
client.get_category_children(node_id)Browse node children
client.get_category_tree()Root category tree
client.batch_category_paths(category_ids)Batch category paths
client.list_bestsellers(category_id)Best Sellers list
client.list_new_releases(category_id)New Releases list

Search & SERP AI (3)

MethodDescription
client.ai_search(query)AI Overview / AI Mode SERP
client.keyword_trends(keyword)Keyword trend time-series
client.search_amazon_alexa(query)Alexa for Shopping

Maps & IP Compliance (3)

MethodDescription
client.search_local_maps(query)Maps POI data
client.wipo_search(keyword)WIPO trademark search
client.pacer_search(query)PACER patent litigation

Utility (1)

MethodDescription
client.capabilities()List all live tools (free)

Generic tool call

python
# Call any tool by nameresult = client.call_tool("search_amazon", {"keyword": "laptop", "page": 2})

Use as an MCP server

This repo also documents the hosted MCP server that any MCP-compatible client (Claude Desktop, Cursor, VS Code, etc.) can connect to directly over Streamable HTTP — no local install required.

Add to your client's mcp.json / MCP config:

json
{  "mcpServers": {    "pangolinfo": {      "url": "https://mcp.pangolinfo.com/mcp",      "headers": {        "Authorization": "Bearer pgl_your_api_key"      }    }  }}

Or pass the key inline as a query parameter:

https://mcp.pangolinfo.com/mcp?api_key=pgl_your_api_key

Get a permanent API key at tool.pangolinfo.com. The key is sent as a Bearer token; config is not hot-reloaded, so restart/reconnect the client after changing it.

For MCP clients that require a local stdio process, use the official npm bridge:

bash
PANGOLINFO_API_KEY="your_key" npx -y pangolinfo-amazon-data-mcp

Source and client configuration: github.com/Pangolin-spg/amazon-data-mcp.

Links

License

MIT — © PANGOLIN INFO TECH PTE. LTD.

Source: README.md at commit 24f16d1

Tools

0
This server asks for a credential such as an API key, so SourceWeft could not read its tools without one and has not indexed them.

Version history

1
  1. v0.7.9LatestSep 16, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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