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Pangolinfo Amazon Data MCP

Pangolinfo Amazon Data MCP

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pangolinfo.comBusiness & Marketing1Updated 8w ago

About Pangolinfo Amazon Data MCP

pangolinfo-mcp is a Python client for calling Pangolinfo Amazon Data MCP tools from code, without an AI client. Its synchronous interface covers data from Amazon, WIPO, and PACER.

Key features

  1. 01Call 19 data tools synchronously
  2. 02Query Amazon products and reviews
  3. 03Analyze categories, niches, and bestsellers
  4. 04Retrieve AI search results and keyword trends
  5. 05Search WIPO trademarks and PACER data
  6. 06Call tools by name

Use cases

  1. 01Look up Amazon products in Python programs
  2. 02Filter product categories and check bestsellers
  3. 03Retrieve keyword trends or AI search results
  4. 04Search trademark and PACER litigation data

MCP support

This project is a Python client for calling 19 tools from the MCP service. It also documents a hosted server for MCP clients and an stdio bridge.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.pangolinfo.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.pangolinfo.com/mcpAuth required
Packages
npmpangolinfo-amazon-data-mcp0.1.2

Tools

Details

From the project 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
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.

Links

License

MIT — © PANGOLIN INFO TECH PTE. LTD.

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