MCP4Amazon
An MCP server that enables large language models to directly access and analyze Amazon product information, including product details, variants, and reviews.
README
1 项目介绍
本项目主要给亚马逊运营使用，可以让大模型直接读取亚马逊上的数据进行分析。
目前已有的功能：
1.1 get_product_info
获取该asin的产品信息, 包括: 产品标题, 产品描述, 所有变体信息
参数：
asin: 亚马逊asin码
1.2 get_product_review
获取该asin的评论信息, 字符总数不超过max_length
参数：
asin: 亚马逊asin码
max_length: 字符总数
2 项目环境搭建
Python安装以及git clone操作不再赘述(我这里使用的Python版本为3.11)
2.1 安装uv
打开CMD
pip install uv
2.2 创建虚拟环境
cd E:\My Project\MCP4Amazon(替换成你实际的项目路径)
uv venv
.\.venv\Scripts\activate
2.3 安装依赖
uv pip install -r requirements.txt
3 配置谷歌浏览器
本项目使用Playwright通过9222端口操作谷歌浏览器来获取数据。
右击桌面上的谷歌浏览器快捷方式 -> 属性 -> 在目标栏中加入以下字符：
--remote-debugging-port=9222
示例："D:\Program Files\chrome-win64\chrome.exe" --remote-debugging-port=9222
保存后双击快捷方式打开浏览器
4 使用Cherry Studio来调用
免费使用的模型中只有Claude Desktop开放了mcp的接口，但国内无法使用。
目前可行的方案就是使用Cherry Studio调用大模型api(需要付费)或Ollama来使用。
4.1 配置MCP服务器
进入Cherry Studio，来到设置 -> MCP服务器 -> 添加服务器
按以下设置：
| 名称 | 类型 | 命令 | 超时 |
|---|---|---|---|
| MCP4Amazon | Stdio | uv | 600 |
参数：
--directory
E:\My Project\MCP4Amazon(替换成你实际的项目路径)
run
mcp4amazon.py
最后保存即可
4.2 配置大模型api或Ollama
具体操作看Cherry Sutio的教程
5 效果
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