Trail Hub / @omneity / amazon.science
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@omneity/amazon.science

@omneity
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Use amazon.science via MCP and API: Amazon's approach to customer-obsessed science. Get the latest news about innovations in artificial intelligence and machine learning, including job opportunities, publications, conferences, events and more.

Herd

What is Herd?

Herd is a powerful browser automation platform that lets you connect any AI like ChatGPT, Claude, or even Cursor to your favorite websites. This Trail is a pre-built automation  for amazon.science, assets.amazon.science. An MCP (Model Context Protocol) server exposes standard tools to your Agent to read from and interact with amazon.science, assets.amazon.science via your browser securely.

With Herd and this trail, your agent can run:
  • feed-feed-amazon: Learn about Amazon's scientific research, science community, and career opportunities in artificial intelligence (AI), machine learning (ML), computer vision, robotics, quantum, economics and more.

Trail Details

Selected Version
v1.0.0 (1 version available)
Last Updated
4/18/2025
Downloads
0

Quick Actions - MCP compatible

Install Herd browser extension to connect your AI tools.

Herd is not affiliated with amazon.science or assets.amazon.science and is not endorsing its content. Herd makes websites accessible over MCP and API, but never hosts any content. Make sure to accept the respective terms of service before using this trail.

All trademarks reserved to their respective owners.

Installation and Usage

Quick Run

herd trail server @omneity/amazon.science

SDK Implementation

Usage Example
import { HerdClient } from '@monitoro/herd';

// Initialize Herd client (use your own API key)
const herd = new HerdClient({ token: 'YOUR_HERD_API_KEY' });

// Run the 'feed-feed-amazon' action
const result = await herd.runTrail('@omneity/amazon.science@1.0.0', {
	actionName: 'feed-feed-amazon',
	params: {
		
	}
});

console.log('Trail result:', result);

Available Actions

All the following actions for @omneity/amazon.science are accessible via the built-in MCP server, CLI, REST API as well as programmatically via the SDK.

feed-feed-amazon

Learn about Amazon's scientific research, science community, and career opportunities in artificial intelligence (AI), machine learning (ML), computer vision, robotics, quantum, economics and more.

This action takes no parameters.