Amazon Product Research MCP Server
Amazon Product Research MCP Server
一个 Model Context Protocol (MCP) 服务器,通过 stdio 为 AI 助手(例如 Claude Code)提供搜索和查看 Amazon 产品数据的工具。
功能
search_products— 按关键词搜索产品。get_product— 按 ID 获取单个产品的完整详情。使用严格 TypeScript 编写,并在运行时通过 Zod 进行验证。
使用 Vitest 进行单元测试。
Related MCP server: Amazon Product Intelligence Agent
项目结构
src/
├── index.ts # Entry point: wires the server to a stdio transport
├── server.ts # Registers MCP tools on the McpServer instance
├── types/
│ └── product.ts # Shared Product type
└── tools/
├── product-data.ts # In-memory product catalog (mock data)
├── search-products.ts # search_products tool: input schema + handler
└── get-product.ts # get_product tool: input schema + handler
tests/
├── search-products.test.ts
└── get-product.test.ts环境要求
Node.js 20+
npm
快速开始
npm install
npm run dev这会使用 tsx 通过 stdio 启动服务器,可供 MCP 客户端连接。
从 Claude Code 连接
claude mcp add amazon-research -- npx tsx /absolute/path/to/amazon-product-research-mcp/src/index.ts脚本
命令 | 描述 |
| 直接从 TypeScript 源码运行服务器。 |
| 进行类型检查并编译到 |
| 从 |
| 运行单元测试套件(Vitest)。 |
| 使用 ESLint 检查代码库。 |
| 使用 Prettier 格式化代码库。 |
| 检查格式而不写入更改。 |
工具参考
search_products
按关键词搜索 Amazon 产品(匹配产品名称,不区分大小写)。
输入
{ "query": "kindle" }输出
[
{
"id": "kindle-paperwhite",
"name": "Kindle Paperwhite",
"price": 169.99,
"currency": "USD",
"rating": 4.7,
"reviewCount": 12543,
"description": "A high-resolution e-reader designed for reading comfortably indoors and outdoors."
}
]get_product
按 ID 获取单个产品的完整详情。
输入
{ "product_id": "kindle-paperwhite" }输出:一个 Product 对象;如果没有匹配的产品,则为 null。
数据
产品数据目前保存在一个小的内存模拟目录(src/tools/product-data.ts)中,而不是实时 Amazon API —— 这使项目保持自包含,并且无需任何凭据即可安全运行。.env.example 记录了真实 API 集成所需的环境变量。
许可证
MIT © Ludovic Delot Bravo
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