amazon-trends-mcp
by trendsmcp
README.md
# amazon-trends-mcp
[](https://trendsmcp.ai/amazon-search-trends)
[](https://modelcontextprotocol.io)
[](https://trendsmcp.ai/mcp-server-for-claude)
[](https://trendsmcp.ai/mcp-server-for-cursor)
> **Amazon search trend data for AI assistants**
> Measure 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](https://trendsmcp.ai/amazon-search-trends)
Part of **[Trends MCP](https://trendsmcp.ai)** - the MCP server for live trend data across 12+ sources.
See the main repo: [https://github.com/trendsmcp/trends-mcp](https://github.com/trendsmcp/trends-mcp)
---
## Get started in 2 steps
**Step 1:** Get your free API key at **[trendsmcp.ai](https://trendsmcp.ai)**
100 requests/day, no credit card required.
**Step 2:** Add to your AI client (replace `YOUR_API_KEY`):
[**+ Add to Cursor (one click)**](cursor://anysphere.cursor-deeplink/mcp/install?name=trends-mcp&config=eyJ1cmwiOiAiaHR0cHM6Ly9hcGkudHJlbmRzbWNwLmFpL21jcCIsICJ0cmFuc3BvcnQiOiAiaHR0cCJ9)
**Cursor / Windsurf / Cline** (`~/.cursor/mcp.json` or equivalent)
```json
{
"mcpServers": {
"trends-mcp": {
"url": "https://api.trendsmcp.ai/mcp",
"transport": "http",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
```
**VS Code / GitHub Copilot** (`.vscode/mcp.json`)
```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
```json
{
"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](https://trendsmcp.ai/data-sources)
---
## Also works as a Python client
Same API key works directly in Python - no MCP host needed.
```bash
pip install amazon-trends-mcp
```
```python
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)
```
Full Python docs: [trendsmcp.ai/docs](https://trendsmcp.ai/docs)
---
## License
MIT © [Trends MCP](https://trendsmcp.ai)
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