npm pangolinfo-amazon-data-mcpstreamable-httpMITupdated 20d ago
Python client for the Pangolinfo Amazon Data MCP server — 19 Amazon / WIPO / PACER data tools callable from Python, no AI client required.
What can you do with Pangolinfo Amazon Data MCP?
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)
| Method | Description |
|---|---|
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)
| Method | Description |
|---|---|
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)
| Method | Description |
|---|---|
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)
| Method | Description |
|---|---|
client.search_local_maps(query) |
Maps POI data |
client.wipo_search(keyword) |
WIPO trademark search |
client.pacer_search(query) |
PACER patent litigation |
Utility (1)
| Method | Description |
|---|---|
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
- MCP product page: pangolinfo.com/amazon-data-mcp
- Documentation: docs.pangolinfo.com
- Get a free API key: tool.pangolinfo.com
- Source code: github.com/Pangolin-spg/pangolinfo-mcp
License
MIT — © PANGOLIN INFO TECH PTE. LTD.
Install
Add Pangolinfo Amazon Data MCP to your client. Pick the one you use.
{
"servers": {
"pangolinfo-amazon-data-mcp": {
"type": "http",
"url": "https://mcp.pangolinfo.com/mcp"
}
}
}Add to `.vscode/mcp.json` in your workspace.
claude mcp add pangolinfo-amazon-data-mcp -- npx -y pangolinfo-amazon-data-mcpcodex mcp add pangolinfo-amazon-data-mcp -- npx -y pangolinfo-amazon-data-mcpamp mcp add pangolinfo-amazon-data-mcp -- npx -y pangolinfo-amazon-data-mcp{
"mcpServers": {
"pangolinfo-amazon-data-mcp": {
"command": "npx",
"args": [
"-y",
"pangolinfo-amazon-data-mcp"
]
}
}
}Add to `claude_desktop_config.json`, then restart Claude Desktop.
{
"mcpServers": {
"pangolinfo-amazon-data-mcp": {
"command": "npx",
"args": [
"-y",
"pangolinfo-amazon-data-mcp"
]
}
}
}Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.
{
"mcpServers": {
"pangolinfo-amazon-data-mcp": {
"command": "npx",
"args": [
"-y",
"pangolinfo-amazon-data-mcp"
]
}
}
}Add to `~/.codeium/windsurf/mcp_config.json`.
{
"mcpServers": {
"pangolinfo-amazon-data-mcp": {
"command": "npx",
"args": [
"-y",
"pangolinfo-amazon-data-mcp"
]
}
}
}Add to `cline_mcp_settings.json` via the MCP Servers panel.
{
"mcpServers": {
"pangolinfo-amazon-data-mcp": {
"command": "npx",
"args": [
"-y",
"pangolinfo-amazon-data-mcp"
]
}
}
}Add to `~/.gemini/settings.json`.
{
"mcpServers": {
"pangolinfo-amazon-data-mcp": {
"type": "local",
"command": "npx",
"args": [
"-y",
"pangolinfo-amazon-data-mcp"
],
"tools": [
"*"
]
}
}
}Add to `~/.copilot/mcp-config.json`, or run `/mcp add` inside the CLI.
{
"context_servers": {
"pangolinfo-amazon-data-mcp": {
"command": {
"path": "npx",
"args": [
"-y",
"pangolinfo-amazon-data-mcp"
]
}
}
}
}Add to your Zed `settings.json`.
npx -y pangolinfo-amazon-data-mcpRun `goose configure`, choose **Add Extension → Command-line Extension**, and paste this command.
Score
39 / 100
Incomplete
- Documentation25/25
- Maintenance25/25
- Trust13/20
- Capability0/15
- Install experience15/15
- Documents what it does and how to connect
- Has a resolvable package or endpoint
- Exposes at least one tool, prompt or resource
- README has substantive content
- Includes a code example
- Documents its configuration
- Mentions credentials or security posture
- Last commit 13 days ago
- Has a release history
- Repository is not archived
- Licensed MIT
- Namespace verified in the official MCP registry
- Claimed by its owner
- Published under an organisation
- 0 tool(s) documented
- Provides prompt templates
- Provides resources
- 18 documented install method(s)
- Published to a package registry
- Offers a hosted endpoint — no local install
Version history
| Versions | Published |
|---|---|
| 0.7.9Latest | Aug 19, 2026 |
| 0.7.3 | Jul 31, 2026 |
| 0.1.0 | Jul 31, 2026 |
| 0.7.2 | Jul 23, 2026 |