Pangolinfo MCP server — Amazon e-commerce data tools for AI assistants via MCP protocol
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
git clone https://github.com/pangolinfo/pangolinfo-mcp{
"mcpServers": {
"pangolinfo-mcp": {
"command": "node",
"args": ["/path/to/pangolinfo-mcp/dist/index.js"],
"env": {
"PANGOLINFO_API_KEY": "<pangolinfo_api_key>"
}
}
}
}PANGOLINFO_API_KEYResumen de MCP Servers
# pangolinfo-mcp
> Pangolinfo MCP server — **18 Amazon e-commerce & IP data tools** for AI assistants via [Model Context Protocol](https://modelcontextprotocol.io).
**🔗 Official site: [www.pangolinfo.com](https://www.pangolinfo.com/?sourceTag=mcp_)**
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, AI search lookups, keyword-trend checks, and WIPO trademark clearance — all from natural-language instructions.
> ⚠️ **BREAKING CHANGE in 0.7.0 — `pacer_search` retired, merged into `wipo_search`**
>
> The standalone `pacer_search` tool was removed. US patent-litigation (PACER) lookups
> are now reached by passing `enableLitigation=true` to `wipo_search` — it finds the patent
> and joins the related US litigation cases in a single call. Prompts/scripts pinning
> `pacer_search` will get `ToolNotFound`; switch to `wipo_search` with `enableLitigation`.
>
> <details><summary>Earlier breaking change (0.3.0 — tool renames)</summary>
>
> | Old name (≤ 0.2.x) | New name (0.3.0+) |
> | --- | --- |
> | `google_ai_search` | `ai_search` |
> | `google_trends` | `keyword_trends` |
>
> Tool names changed to remove third-party brand references from the public MCP interface.
> Tool parameters, return shape, and pricing are unchanged.
> </details>
| | |
|---|---|
| **Version** | `0.7.3` |
| **Tools** | 18 business tools (+ a free local `pangolinfo_capabilities` introspection call) |
| **Transport** | stdio (local) · streamable HTTP (hosted — see below) |
| **Runtime** | Node.js 18+ |
| **License** | MIT |
| **Get an API key** | <https://tool.pangolinfo.com/> |
---
## 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**
```bash
curl -fsSL https://pangolinfo.dev/install.sh | sh -s -- \
--agent=<your-agent> \
--scope=mcp \
--api-key=pgl_xxxxxxxxxxxx
```
**Windows (PowerShell)**
```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.
```bash
# 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
```
```powershell
# 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 clone` this repo and run `npm install && npm run build`. The produced `dist/server.mjs` is identical to the release asset.
---
## Get an API key
1. Sign up at <https://tool.pangolinfo.com/>
2. Copy your `pgl_xxxxxxxx` key from the dashboard
3. Top up credits if needed (each Amazon scrape call costs 0.75 credits; `pangolinfo_capabilities` is 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`)
```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`)
```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:
```json
{
"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`)
```json
{
"mcpServers": {
"pangolinfo": {
"command": "node",
"args": ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"],
"env": { "PANGOLINFO_API_KEY": "pgl_xxxxxxxx" }
}
}
}
```
### Codex (`~/.codex/config.toml`)
```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`)
```yaml
mcp_servers:
pangolinfo:
command: node
args: ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"]
env:
PANGOLINFO_API_KEY: pgl_xxxxxxxx
```
### OpenClaw (`~/.openclaw/openclaw.json`)
```json
{
"mcpServers": {
"pangolinfo": {
"command": "node",
"args": ["/abs/path/to/pangolinfo-mcp/dist/server.mjs"],
"env": { "PANGOLINFO_API_KEY": "pgl_xxxxxxxx" }
}
}
}
```
---
## Hosted (remote HTTP) — no local install
Don't want to install anything? Point your AI client at the hosted endpoint
instead of a local `server.mjs`. This is the **streamable HTTP** transport
(MCP spec), multi-tenant — you bring your own key on every request.
| | |
|---|---|
| **Endpoint** | `https://mcp.pangolinfo.com/mcp` |
| **Transport** | Streamable HTTP (POST + SSE) |
| **Auth** | Your `pgl_xxxxxxxx` key, via Bearer header **or** URL query |
### Passing your API key — two ways
**1. `Authorization` header (recommended)**
```
Authorization: Bearer pgl_xxxxxxxx
```
This is the preferred method: the key stays out of URLs, logs, and browser
history. The `Bearer` scheme is matched **case-insensitively** (`bearer`,
`BEARER`, `Bearer` all work) and extra whitespace is tolerated.
**2. `?api_key=` URL query (fallback)**
```
https://mcp.pangolinfo.com/mcp?api_key=pgl_xxxxxxxx
```
Easiest for clients that only let you paste a URL. If your key contains
URL-special characters, **URL-encode it**. The header (method 1) takes
precedence if both are supplied.
### Client config example (Claude Code / Cursor — `"url"`-style remote MCP)
```json
{
"mcpServers": {
"pangolinfo": {
"url": "https://mcp.pangolinfo.com/mcp",
"headers": { "Authorization": "Bearer pgl_xxxxxxxx" }
}
}
}
```
> If your client can't set headers, fall back to the URL form:
> `"url": "https://mcp.pangolinfo.com/mcp?api_key=pgl_xxxxxxxx"`.
### Notes for custom / raw HTTP integrations
If you're calling the endpoint directly (not through a standard MCP client):
- **POST** your JSON-RPC body to `/mcp`.
- The MCP streamable transport normally requires the request to advertise
**both** `application/json` and `text/event-stream` in its `Accept` header.
This server **backfills** the missing media type for you, so a plain
`Accept: application/json`, `Accept: */*`, or even a missing `Accept`
header all work — you don't need to hand-craft it.
- A `401` means the key was not found in **either** the header **or** the
query string — check that your client actually sent it (some libraries
drop the `Authorization` header on cross-origin redirects).
---
## Tools (18)
See [`MCP-TOOLS-MAP.md`](./MCP-TOOLS-MAP.md) for the full coordination graph (which tools chain into which).
| # | Tool | Purpose | Cost (credits) |
|---|---|---|---|
| 1 | `search_amazon` | Amazon keyword search → structured product list | 0.75 |
| 2 | `get_amazon_product` | Single-ASIN listing detail (title / bullets / features / aiReviewsSummary) | 0.75 |
| 3 | `get_amazon_reviews` | Batch reviews for an ASIN (VOC mining) | 0.75 |
| 4 | `list_bestsellers` | Amazon Bestsellers by category | 0.75 |
| 5 | `list_new_releases` | Amazon New Releases by category | 0.75 |
| 6 | `list_seller_products` | Catalog of products under one seller | 0.75 |
| 7 | `list_category_products` | All products in a category leaf | 0.75 |
| 8 | `search_categories` | Search Amazon category tree by keyword | 0.75 |
| 9 | `get_category_children` | Drill down one level in the category tree | 0.75 |
| 10 | `filter_categories` | Filter category nodes by criteria | 0.75 |
| 11 | `filter_niches` | Niche discovery (size × competition × growth) | 0.75 |
| 12 | `get_category_paths` | Resolve full ancestor paths for a category node | 0.75 |
| 13 | `search_local_maps` | Google Maps local business search | 0.75 |
| 14 | `wipo_search` | WIPO global design / trademark search (IP clearance). Set `enableLitigation=true` to also join related US patent-litigation (PACER) cases in the same call | 2 (+12 when `enableLitigation` finds a patent) |
| 15 | `ai_search` | AI Search via Google SERP (AI Overview + organic, with compliance disclaimer) | 2 |
| 16 | `keyword_trends` | Keyword Trends via Google Trends (with compliance disclaimer) | 1.5 |
| 17 | `scrape_url` | Power-user escape hatch: scrape a raw Amazon URL + parserName (non-standard pages) | 0.75 |
| 18 | `search_amazon_alexa` | Amazon Rufus AI conversational product Lo que la gente pregunta sobre pangolinfo-mcp
¿Qué es pangolinfo/pangolinfo-mcp?
+
pangolinfo/pangolinfo-mcp es mcp servers para el ecosistema de Claude AI. Pangolinfo MCP server — Amazon e-commerce data tools for AI assistants via MCP protocol Tiene 5 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala pangolinfo-mcp?
+
Puedes instalar pangolinfo-mcp clonando el repositorio (https://github.com/pangolinfo/pangolinfo-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar pangolinfo/pangolinfo-mcp?
+
Nuestro agente de seguridad ha analizado pangolinfo/pangolinfo-mcp y le ha asignado un Trust Score de 79/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene pangolinfo/pangolinfo-mcp?
+
pangolinfo/pangolinfo-mcp es mantenido por pangolinfo. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
¿Hay alternativas a pangolinfo-mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
Despliega pangolinfo-mcp en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/pangolinfo-pangolinfo-mcp)<a href="https://claudewave.com/repo/pangolinfo-pangolinfo-mcp"><img src="https://claudewave.com/api/badge/pangolinfo-pangolinfo-mcp" alt="Featured on ClaudeWave: pangolinfo/pangolinfo-mcp" width="320" height="64" /></a>Más MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
The fastest path to AI-powered full stack observability, even for lean teams.
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ,数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。