amazon-trends-mcp
amazon-trends-mcp
面向AI助手的亚马逊搜索趋势数据 衡量真实的消费者购买意图。亚马逊搜索量揭示的是人们正在积极寻找购买的商品——而不仅仅是研究。历史需求曲线和增长信号,可由你的AI查询。
完整文档和在线演示: https://trendsmcp.ai/amazon-search-trends
属于 Trends MCP —— 提供12+数据源实时趋势数据的MCP服务器。 查看主仓库:https://github.com/trendsmcp/trends-mcp
两步快速开始
第一步: 在 trendsmcp.ai 获取免费API密钥 每天100次请求,无需信用卡。
第二步: 添加到你的AI客户端(将 YOUR_API_KEY 替换为你的密钥):
Cursor / Windsurf / Cline (~/.cursor/mcp.json 或等效文件)
{
"mcpServers": {
"trends-mcp": {
"url": "https://api.trendsmcp.ai/mcp",
"transport": "http",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}VS Code / GitHub Copilot (.vscode/mcp.json)
{
"servers": {
"trends-mcp": {
"type": "http",
"url": "https://api.trendsmcp.ai/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}Claude Desktop (claude_desktop_config.json)
用户 → 设置 → 开发者 → 编辑配置 — 在 mcpServers 内添加
{
"mcpServers": {
"trends-mcp": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://api.trendsmcp.ai/mcp",
"--header",
"Authorization:${AUTH_HEADER}"
],
"env": {
"AUTH_HEADER": "Bearer YOUR_API_KEY"
}
}
}
}Claude.ai(浏览器) 设置 -> 连接器 -> 添加自定义连接器:
https://api.trendsmcp.ai/mcpRelated MCP server: youtube-trends-mcp
示例查询
连接后,向你的AI提问:
get_trends(keyword='air fryer', source='amazon', data_mode='weekly')可用工具
工具 | 功能说明 |
| 获取该数据源上某个关键词的时间序列数据 |
| 获取1周、1月、3月、6月、1年周期的增长率 |
| 获取该数据源上当前的热门趋势 |
| 按搜索量排序的热门主题 |
常见问题
Trends MCP 提供哪些亚马逊数据?
亚马逊产品搜索量趋势——反映消费者购买意图的归一化兴趣随时间变化。这与谷歌搜索数据不同,因为亚马逊查询代表的是主动购买意图,而非一般信息搜索。
亚马逊搜索数据对电商产品研究有用吗?
有用。将产品关键词在亚马逊和谷歌上的需求进行对比,可以了解消费者意图主要是信息性的还是交易性的。亚马逊搜索量上升是一个强烈的购买信号。
能否追踪整个产品品类?
可以。使用品类关键词如“蓝牙耳机”或“蛋白粉”,信号会聚合该品类在亚马逊上的整体需求。
亚马逊趋势数据如何归一化?
所有值均归一化到0-100的尺度,以便进行一致比较。同时会返回归一化信号旁边的绝对搜索量估算值。
所有数据源
Trends MCP 一次连接覆盖12+数据源: 谷歌搜索、YouTube、TikTok、Reddit、亚马逊、维基百科、 新闻情感、网站流量、应用下载、Steam、npm 等。
浏览全部:https://trendsmcp.ai/data-sources
也可作为Python客户端使用
相同的API密钥可直接在Python中使用,无需MCP主机。
pip install amazon-trends-mcpimport os
from amazon_trends_mcp import TrendsMcpClient, SOURCE
client = TrendsMcpClient(api_key=os.environ["TRENDSMCP_API_KEY"])
series = client.get_trends(source=SOURCE, keyword="your keyword")
growth = client.get_growth(source=SOURCE, keyword="your keyword", percent_growth=["1M", "3M", "12M"])
top = client.get_top_trends(type="Amazon", limit=10)完整Python文档:trendsmcp.ai/docs
许可证
MIT © Trends MCP
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