Amazon Data MCP

Communauté Recherche et web

Read-only Amazon research via Pangolinfo: product details, keyword results, reviews, niche signals, Alexa shopping recommendations and AI-search data.

Que pouvez-vous faire avec Amazon Data MCP ?

  • Amazon research: product search and detail, reviews, delivery estimates, best sellers, new releases, seller catalogs, category products, and Rufus recommendations.
  • Market selection: category discovery and trees, category metrics, niche filtering, and category paths.
  • Broader intelligence: WIPO design-patent and litigation-risk search, Google SERP/AI Overview search, Google Trends, Google Maps local search, and a generic Amazon URL scraper.

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Pangolinfo Amazon Data MCP
  2. Capabilities
  3. Requirements
  4. Run with npx
  5. MCP client configuration
  6. Run with Docker
  7. How the bridge works
  8. Links
  9. License and trademarks

Pangolinfo Amazon Data MCP

Pangolinfo Amazon Data MCP gives AI agents real-time access to Amazon commerce intelligence, WIPO design-patent data, Google Trends and search intelligence, and local market data.

This package is Pangolinfo's official stdio bridge to the hosted Streamable HTTP MCP server. It discovers the current remote tool schemas at startup and forwards MCP tool calls without storing your API key or result data.

Capabilities

The server exposes 19 business data tools, plus the free pangolinfo_capabilities navigation tool:

  • Amazon research: product search and detail, reviews, delivery estimates, best sellers, new releases, seller catalogs, category products, and Rufus recommendations.
  • Market selection: category discovery and trees, category metrics, niche filtering, and category paths.
  • Broader intelligence: WIPO design-patent and litigation-risk search, Google SERP/AI Overview search, Google Trends, Google Maps local search, and a generic Amazon URL scraper.

See the full product overview and current capability details at pangolinfo.com/amazon-data-mcp.

Requirements

  • Node.js 18 or newer
  • A Pangolinfo API key

Run with npx

PANGOLINFO_API_KEY="your-key" npx -y pangolinfo-amazon-data-mcp

Do not put a production key in source code or commit it to Git.

MCP client configuration

For clients that launch local stdio servers:

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

Clients with native Streamable HTTP support can connect directly:

  • Endpoint: https://mcp.pangolinfo.com/mcp
  • Header: Authorization: Bearer YOUR_PANGOLINFO_API_KEY

Agent-oriented installation instructions are also available in llms-install.md.

Run with Docker

Pull the public multi-platform image from Docker Hub or GitHub Container Registry:

docker pull pangolinfo/amazon-data-mcp:latest
docker pull ghcr.io/pangolin-spg/amazon-data-mcp:latest

Run it as a stdio MCP server while passing the key only at runtime:

docker run --rm -i \
  -e PANGOLINFO_API_KEY \
  pangolinfo/amazon-data-mcp:latest

Or build the official bridge locally:

docker build -t pangolinfo-amazon-data-mcp .

Run the local image:

docker run --rm -i -e PANGOLINFO_API_KEY pangolinfo-amazon-data-mcp

Set PANGOLINFO_API_KEY in your shell or secret manager. Do not bake it into the image, Dockerfile, or source tree.

How the bridge works

The package opens an authenticated Streamable HTTP connection to Pangolinfo, then exposes the remote tools/list and tools/call methods over local stdio. Tool definitions therefore stay synchronized with the hosted service; the package contains no embedded customer data and does not log credentials.

An optional PANGOLINFO_MCP_URL environment variable can override the endpoint for approved testing environments. For safety, only HTTPS URLs are accepted.

License and trademarks

The bridge source code is licensed under the MIT License. Pangolinfo names, logos, product marks, and brand assets are not granted under that license; see BRANDING.md.

Questions fréquentes

Qu'est-ce que Amazon Data MCP ?

Read-only Amazon research via Pangolinfo: product details, keyword results, reviews, niche signals, Alexa shopping recommendations and AI-search data.

Comment installer Amazon Data MCP ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

Amazon Data MCP est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Amazon Data MCP ?

Il est publié par Pangolin-spg. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.