# Pangolinfo Amazon Data MCP [Health: Active]

**Category:** 💻 Developer Tools  
**Repository:** https://github.com/Pangolin-spg/pangolinfo-mcp  
**GitHub Stars:** 1  
**npm Downloads (last month):** 611  
**Views:** 3  
**Installs:** 0  
**Upvotes:** 1  
**Directory Page:** https://allmcps.com/mcp/pangolinfo-amazon-data-mcp

## Description
Real-time Amazon, WIPO & PACER data for AI agents — 19 tools via the MCP protocol.

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "pangolinfo-amazon-data-mcp": {
    "command": "npx",
    "args": ["-y","pangolinfo-amazon-data-mcp"],
    "env": {
      "PANGOLINFO_API_KEY": ""
    }
  }
}
```

**Requires environment variables:** `PANGOLINFO_API_KEY` — the values above are empty placeholders; fill in real credentials before running (see the repository for what each one is for).

## Documentation

## What Pangolinfo Amazon Data MCP MCP server does

Pangolinfo Amazon Data MCP MCP server provides access to 19 data operations covering Amazon, WIPO, and PACER sources. The Amazon tools support product search, product details, reviews, seller storefronts, and Amazon page scraping. Additional operations cover category and niche analysis, bestseller and new-release lists, AI-oriented search results, keyword trends, Alexa for Shopping, local map points of interest, WIPO trademark searches, and PACER patent litigation searches.

The repository includes a Python package named `pangolinfo-mcp`. It exposes these operations through the `PangolinfoMCPClient`, so Python code can use the service without an AI client or an MCP SDK. A generic `call_tool` method is available when code needs to invoke a tool by name, and `list_tools` or `capabilities` can expose the available tool set.

## How it works

Create a client with a permanent API key, then call the corresponding synchronous method with the required arguments. For example, product details use an ASIN, category methods use identifiers such as a category ID, and text-based searches accept a query or keyword. Results are returned to Python, where the application can inspect or process them. The client also supports use as a context manager and provides `close()` for cleanup.

Pangolinfo Amazon Data MCP MCP server can also be consumed directly through MCP over Streamable HTTP at `https://mcp.pangolinfo.com/mcp`. MCP clients send the API key as a Bearer token in the configuration. Clients that require a local stdio process can use the `pangolinfo-amazon-data-mcp` npm bridge, which forwards requests to the hosted service.

## Setup and configuration

Install the Python package with:

```bash
pip install pangolinfo-mcp
```

Obtain a permanent API key from the Pangolinfo Account Center at `tool.pangolinfo.com`. Python applications pass that key when constructing `PangolinfoMCPClient`:

```python
from pangolinfo_mcp import PangolinfoMCPClient

with PangolinfoMCPClient(api_key="your_key") as client:
    result = client.search_amazon("wireless earbuds")
```

For direct MCP connections, configure the hosted URL and an `Authorization` header containing `Bearer` followed by the key. The key may alternatively be supplied as an `api_key` query parameter. MCP configuration is not hot-reloaded, so clients must restart or reconnect after credentials change.

## Tools and capabilities

The 19 documented methods are grouped as follows:

- Amazon core: product search, product details, reviews, seller products, and URL scraping.
- Category and niche analysis: niche filters, category filters and search, category children and trees, batch category paths, bestsellers, and new releases.
- Search and SERP AI: AI search, keyword trend time series, and Alexa for Shopping.
- Maps and IP compliance: local map data, WIPO trademark search, and PACER patent litigation search.
- Utility: live capability discovery.

The Python client also supports a generic tool call such as `call_tool("search_amazon", {"keyword": "laptop", "page": 2})`.

## Limitations and notes

The documented Python interface is synchronous; asynchronous support is described as planned rather than currently available. The package has no MCP SDK dependency and requires `httpx`. Use of the service requires a permanent API key. The hosted MCP configuration must be reloaded by reconnecting the client after an API key change. The supplied material does not specify individual request limits, response schemas, regional coverage, or pricing details beyond stating that the client uses the same engine and pricing as the REST API and MCP server.

_Full upstream README: https://allmcps.com/mcp/pangolinfo-amazon-data-mcp/readme_