Pangolinfo Amazon Data MCP

Official registry AI and agents

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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code
claude mcp add --transport http pangolinfo-amazon-data-mcp 'https://mcp.pangolinfo.com/mcp' --header 'Authorization: <Authorization>'
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "pangolinfo-amazon-data-mcp": {
            "type": "http",
            "url": "https://mcp.pangolinfo.com/mcp",
            "headers": {
                "Authorization": "<Authorization>"
            }
        }
    }
}
NPM package pangolinfo-amazon-data-mcp
Claude Code
claude mcp add pangolinfo-amazon-data-mcp -e 'PANGOLINFO_API_KEY=<your pangolinfo_api_key>' -- npx -y pangolinfo-amazon-data-mcp@0.1.2
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "pangolinfo-amazon-data-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "pangolinfo-amazon-data-mcp@0.1.2"
            ],
            "env": {
                "PANGOLINFO_API_KEY": "<your pangolinfo_api_key>"
            }
        }
    }
}

Environment variables

  • PANGOLINFO_API_KEY required secret Your Pangolinfo API key

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. pangolinfo-mcp
  2. Why this package
  3. Installation
  4. Quick start
  5. All 19 tools
  6. Generic tool call
  7. Use as an MCP server
  8. Links
  9. License

pangolinfo-mcp

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
from pangolinfo_mcp import PangolinfoMCPClient

client = PangolinfoMCPClient(api_key="your_permanent_api_key")

# Amazon product detail
product = client.get_amazon_product("B0DYTF8L2W")
print(product["title"])

# Keyword search
results = client.search_amazon("wireless earbuds")

# Best sellers in a category
bestsellers = client.list_bestsellers(category_id="172282")

# WIPO trademark check
trademarks = client.wipo_search("Nike")

# PACER patent litigation
cases = client.pacer_search("Apple Inc.")

# List all available tools
tools = client.list_tools()

client.close()
Context manager
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

# Call any tool by name
result = 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:

{
  "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:

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

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

License

MIT — © PANGOLIN INFO TECH PTE. LTD.

Frequently asked questions

What is Pangolinfo Amazon Data MCP?

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

How do I install Pangolinfo Amazon Data MCP?

It runs as a remote server. In Claude Code: claude mcp add --transport http pangolinfo-amazon-data-mcp 'https://mcp.pangolinfo.com/mcp' --header 'Authorization: <Authorization>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Pangolinfo Amazon Data MCP need an API key?

Yes. It expects PANGOLINFO_API_KEY, Authorization, which you set in its configuration.

Is Pangolinfo Amazon Data MCP open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Pangolinfo Amazon Data MCP?

It is published by Pangolin-spg. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.