Pangolinfo Amazon Data MCP server

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)

Category & Niche Analysis (8)

Search & SERP AI (3)

Maps & IP Compliance (3)

Utility (1)

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:

Shortened. The full README is on GitHub.