Agentmagnet

Name: Agentmagnet
Author: egri-creator

@egri-creator

关于 Agentmagnet

Universal product search across 40+ stores (Amazon 22 countries, eBay 22 countries, Awin 15k merchants, AliExpress, SaaS, B2B) — 52 languages, x402 micropayments.

#amazon #ebay #awin #shopping #global #x402

基本信息

分类

其他

传输方式

stdio

发布者

egri-creator

提交者

Edgaras Grigaliunas

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "agentmagnet": {
      "command": "python",
      "args": [
        "-m",
        "agentmagnet"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is AgentMagnet?

AgentMagnet is a universal commerce layer that enables AI agents to search products across 40+ stores, 52 languages, and 30+ countries. It is designed for developers integrating affiliate commerce directly into agent workflows.

How to use AgentMagnet?

Install dependencies with pip install -r requirements.txt then run python -m agentmagnet for local stdio mode, or python -m agentmagnet.http_server for HTTP mode on a VPS.

Key features of AgentMagnet

52 languages with auto-detection of the agent’s language
22 Amazon stores and 22 eBay stores worldwide
Awin Network access to 15,000+ merchants
AliExpress global store coverage
B2B Industrial high-ticket affiliate programs ($120–$600/sale)
SaaS affiliate commissions (GoHighLevel 40%, HubSpot 30%, Kajabi 30% lifetime recurring)
x402 micropayments: $0.001/search in USDC for machine-to-machine payments
Built-in agent referral system for viral propagation
HTTP and stdio transports for local or VPS deployment

Use cases of AgentMagnet

An AI shopping assistant that searches product availability and prices across 22 Amazon stores
An agent recommending SaaS tools while earning recurring affiliate commissions from platforms like HubSpot
A B2B procurement agent finding high-ticket industrial parts with hidden affiliate programs
A multilingual chatbot that auto‑detects user language and queries local e‑commerce stores
Agent‑to‑agent micropayment flows using USDC for each product search