PangolinFo Amazon Ad Tracker & Review Intelligence
OfficialProvides tools for Amazon e-commerce data: keyword search, product details, reviews, bestsellers, new releases, category navigation, niche discovery, and seller catalog queries.
Provides tools for Google AI Search (overview answers) and Google Trends (interest over time data).
Provides a tool for Google Maps local business search.
pangolinfo-mcp
Pangolinfo MCP server — 17 Amazon e-commerce data tools for AI assistants via Model Context Protocol.
Plug your favorite AI client (Claude Code, Cursor, Cline, Windsurf, Codex, Hermes, OpenClaw) into Pangolinfo's Amazon scrape APIs and let the AI run keyword research, listing analysis, review mining, niche discovery, category navigation, Google AI Search lookups, Google Trends checks, and WIPO trademark clearance — all from natural-language instructions.
Version |
|
Tools | 17 (16 backend + 1 self-introspection) |
Transport | stdio (MCP standard) |
Runtime | Node.js 18+ |
License | MIT |
Get an API key |
Install
Recommended: one-line installer (covers 7 AI clients)
The Pangolinfo Installer detects your AI client, writes the right config files, and you're done. Pass --scope=mcp to install only this MCP server (skip the Skills package).
macOS / Linux
curl -fsSL https://pangolinfo.dev/install.sh | sh -s -- \
--agent=<your-agent> \
--scope=mcp \
--api-key=pgl_xxxxxxxxxxxxWindows (PowerShell)
irm https://pangolinfo.dev/install.ps1 | iex; `
Install-Pangolinfo -Agent <your-agent> -Scope mcp -ApiKey pgl_xxxxxxxxxxxx<your-agent> is one of: claude-code, cursor, cline, windsurf, codex, hermes, openclaw.
After the installer finishes, restart your AI client so it picks up the new mcpServers entry.
Manual install (just download one file)
The release artifact is a single self-contained server.mjs (~800 KB) — all dependencies are bundled in. No npm install needed.
# macOS / Linux
mkdir -p ~/.local/lib/pangolinfo-mcp
curl -fsSL https://github.com/pangolinfo/pangolinfo-mcp/releases/latest/download/server.mjs \
-o ~/.local/lib/pangolinfo-mcp/server.mjs
chmod +x ~/.local/lib/pangolinfo-mcp/server.mjs# Windows (PowerShell)
$dir = "$env:LOCALAPPDATA\pangolinfo-mcp"
New-Item -ItemType Directory -Force -Path $dir | Out-Null
irm https://github.com/pangolinfo/pangolinfo-mcp/releases/latest/download/server.mjs `
-OutFile "$dir\server.mjs"Then wire it into your AI client — see the per-client snippets below. Point args at the file you just downloaded.
Developers: to build from source,
git clonethis repo and runnpm install && npm run build. The produceddist/server.mjsis identical to the release asset.
Get an API key
Sign up at https://tool.pangolinfo.com/
Copy your
pgl_xxxxxxxxkey from the dashboardTop up credits if needed (each Amazon scrape call costs 0.75 credits;
pangolinfo_capabilitiesis free)
Manual configuration (per AI client)
Replace /abs/path/to/pangolinfo-mcp/dist/server.mjs with your real path, and pgl_xxxxxxxx with your key.
Claude Code (~/.claude/settings.json)
{
"mcpServers": {
"pangolinfo": {
"command": "node",
"args": ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"],
"env": { "PANGOLINFO_API_KEY": "pgl_xxxxxxxx" }
}
}
}Prefer
claude mcp add --scope user pangolinfo node /abs/path/to/dist/server.mjs— it writes the same entry without hand-editing JSON.
Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"pangolinfo": {
"command": "node",
"args": ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"],
"env": { "PANGOLINFO_API_KEY": "pgl_xxxxxxxx" }
}
}
}Cline (VS Code extension)
Open Cline → MCP Servers → Edit settings JSON, then add:
{
"mcpServers": {
"pangolinfo": {
"command": "node",
"args": ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"],
"env": { "PANGOLINFO_API_KEY": "pgl_xxxxxxxx" }
}
}
}The settings file lives at <vscode-user>/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json.
If you're on the standalone Cline CLI, use ~/.cline/data/settings/cline_mcp_settings.json instead.
Windsurf (~/.codeium/windsurf/mcp_config.json)
{
"mcpServers": {
"pangolinfo": {
"command": "node",
"args": ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"],
"env": { "PANGOLINFO_API_KEY": "pgl_xxxxxxxx" }
}
}
}Codex (~/.codex/config.toml)
[mcp_servers.pangolinfo]
command = "node"
args = ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"]
[mcp_servers.pangolinfo.env]
PANGOLINFO_API_KEY = "pgl_xxxxxxxx"Hermes (~/.hermes/config.yaml)
mcp_servers:
pangolinfo:
command: node
args: ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"]
env:
PANGOLINFO_API_KEY: pgl_xxxxxxxxOpenClaw (~/.openclaw/openclaw.json)
{
"mcpServers": {
"pangolinfo": {
"command": "node",
"args": ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"],
"env": { "PANGOLINFO_API_KEY": "pgl_xxxxxxxx" }
}
}
}Tools (17)
See MCP-TOOLS-MAP.md for the full coordination graph (which tools chain into which).
# | Tool | Purpose | Cost (credits) |
1 |
| Amazon keyword search → structured product list | 0.75 |
2 |
| Single-ASIN listing detail (title / bullets / features / aiReviewsSummary) | 0.75 |
3 |
| Batch reviews for an ASIN (VOC mining) | 0.75 |
4 |
| Amazon Bestsellers by category | 0.75 |
5 |
| Amazon New Releases by category | 0.75 |
6 |
| Catalog of products under one seller | 0.75 |
7 |
| All products in a category leaf | 0.75 |
8 |
| Search Amazon category tree by keyword | 0.75 |
9 |
| Drill down one level in the category tree | 0.75 |
10 |
| Filter category nodes by criteria | 0.75 |
11 |
| Niche discovery (size × competition × growth) | 0.75 |
12 |
| Resolve full ancestor paths for a category node | 0.75 |
13 |
| Google Maps local business search | 0.75 |
14 |
| WIPO global trademark search (IP clearance) | 0.75 |
15 |
| Google AI Overview / SGE answer for a query | 0.75 |
16 |
| Google Trends interest-over-time | 0.75 |
17 |
| Self-introspection — what tools exist, how they chain | 0 (local) |
Default marketplace is Amazon US (marketplaceId=ATVPDKIKX0DER, zip=90001). Override per call via tool arguments.
Auth resolution order
The server resolves the API key with this priority:
CLI args:
--api-key=pgl_xxx --api-base=... --scrape-base=...Env vars:
PANGOLINFO_API_KEY,PANGOLINFO_API_BASE,PANGOLINFO_SCRAPE_BASEConfig file at
~/.pangolinfo/config.json:{ "api_key": "pgl_xxxxxxxxxxxx", "api_base": "https://extapi.pangolinfo.com", "scrape_base": "https://scrapeapi.pangolinfo.com" }Missing key → startup failure with an actionable error.
CLI args win over env vars — convenient when you want per-server keys without polluting the global environment.
Internationalization
The server returns Chinese descriptions and error hints by default. Set PANGOLINFO_LANG=en to switch to English:
"env": {
"PANGOLINFO_API_KEY": "pgl_xxxxxxxx",
"PANGOLINFO_LANG": "en"
}Startup logs are always English (operator-facing); tool descriptions and error hint fields follow PANGOLINFO_LANG.
Verify your install
After restarting your AI client, ask it:
List all available
pangolinfoMCP tools.
You should see 17 tools. Then try:
Use
pangolinfo_capabilitieswith mode "summary".
This is a free local call — if it returns the tool catalog, your install is wired correctly. Next, run something paid like:
Search Amazon for "wireless mouse" and return the top 5 results.
Expected: ~0.75 credits deducted, ~300 KB of structured product data returned.
Development
npm install
npm run dev # tsx src/server.ts — hot-reload
npm run build # esbuild → dist/server.mjs
npm run typecheck # tsc --noEmit
npm start # node dist/server.mjsProject layout
src/
├── server.ts MCP stdio entry + tool registration
├── auth.ts API key resolution (CLI > env > config file)
├── client.ts HTTP client (Authorization, User-Agent)
├── errors.ts PangolinfoError + status-code mapping
├── config.ts Default endpoints / constants
├── i18n.ts zh/en translation lookup
└── tools/
├── _types.ts Tool / ToolContext type definitions
├── index.ts Tool registry (17 tools)
└── <verb_noun>.ts One file per toolAdding a new tool
Create
src/tools/<verb_noun>.tsexporting aToolobject — mirrorsearch_amazon.ts.Import it in
src/tools/index.tsand append to thetoolsarray.Schema is
zod;.describe()every field — the AI reads those.Never call
fetchdirectly — usectx.client.post(...). Auth is already injected.Throw
PangolinfoErroron failure; the HTTP client already throws this for non-2xx responses.
Security & Data Handling
We take operator and user safety seriously. By design, this MCP server:
Brings your own key. Authentication is via your personal
PANGOLINFO_API_KEY(issued at https://tool.pangolinfo.com/). The key is read locally from your AI client's config or environment — it is never transmitted anywhere except tohttps://scrapeapi.pangolinfo.com(orhttps://mcp.pangolinfo.comfor the hosted variant) over TLS 1.2+.No telemetry. This server does not phone home, does not collect usage analytics, and does not log your prompts. The only outbound traffic is the actual Amazon / Google / WIPO scrape API calls you explicitly invoke through tools.
No PII collection. No user account info, no email, no IP geolocation, and no prompt content is persisted by this server. Tool calls forward only the parameters you (or the AI agent) supplied.
Read-only. Every tool is a strictly read-only data lookup. None of them can write to Amazon, place orders, post reviews, modify listings, or take any side-effecting action on third-party platforms.
HTTPS-only transport. Both the stdio variant (local) and the hosted variant (
https://mcp.pangolinfo.com/mcp) require HTTPS; HTTP requests are refused.Open source. The full source is in this repository under MIT license — anyone can audit what the server sends and where.
Responsible use. Pangolinfo APIs aggregate public e-commerce data. You are responsible for using the returned data in compliance with the terms of service of the underlying platforms (Amazon, Google, etc.) and with applicable laws in your jurisdiction.
Report security issues privately to security@pangolinfo.com — please do not file public GitHub issues for vulnerabilities.
Support
API docs: https://docs.pangolinfo.com
Email: support@pangolinfo.com
License
MIT © Pangolinfo
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