amazon-trends-mcp

Amazon search trend data for AI assistantsMeasure real consumer purchase intent. Amazon search volume reveals what people are actively looking to buy - not just research. Historical demand curves and growth signals, queryable by your AI.

Full docs and live demo: https://trendsmcp.ai/amazon-search-trends

Part of Trends MCP - the MCP server for live trend data across 12+ sources.See the main repo: https://github.com/trendsmcp/trends-mcp

Get started in 2 steps

Step 1: Get your free API key at trendsmcp.ai100 requests/day, no credit card required.

Step 2: Add to your AI client (replace YOUR_API_KEY):

+ Add to Cursor (one click)

Cursor / Windsurf / Cline (~/.cursor/mcp.json or equivalent)

{
  "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)User → Settings → Developer → Edit Config — add inside mcpServers

{
  "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 (browser) Settings -> Connectors -> Add custom connector:

https://api.trendsmcp.ai/mcp

Example query

After connecting, ask your AI:

get_trends(keyword='air fryer', source='amazon', data_mode='weekly')

Available tools

Tool	What it does
`get_trends`	Time-series for a keyword on this source
`get_growth`	Growth % over 1W, 1M, 3M, 6M, 1Y periods
`get_top_trends`	What is trending right now on this source
`get_ranked_trends`	Top topics ranked by volume

FAQ

What Amazon data does Trends MCP provide?

Amazon product search volume trends - normalized interest over time reflecting consumer purchase intent. This is distinct from Google Search data because Amazon queries represent active buying intent rather than general information seeking.

Is Amazon search data useful for e-commerce product research?

Yes. Compare product keyword demand on Amazon vs. Google to understand whether consumer intent is primarily informational or transactional. Rising Amazon search is a strong buying signal.

Can I track a whole product category?

Yes. Use a category keyword like 'bluetooth headphones' or 'protein powder' and the signal aggregates demand across that category on Amazon.

How is Amazon trend data normalized?

All values are normalized to a 0-100 scale for consistent comparison. An absolute volume estimate is also returned alongside the normalized signal.

All data sources

Trends MCP covers 12+ sources in one connection:Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia,News Sentiment, Web Traffic, App Downloads, Steam, npm, and more.

Browse all: https://trendsmcp.ai/data-sources

Also works as a Python client

Same API key works directly in Python - no MCP host needed.

pip install amazon-trends-mcp

import 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)

amazon-trends-mcp