MCP Server

Amazon product search volume data for AI agents

Structured consumer purchase-intent data from Amazon, delivered directly to your AI. Identify growing product categories, measure demand seasonality, and track competitor keyword momentum without an Amazon Seller account.

Get started

Get your free API key

100 free requests/day. No credit card required.

Connect

Add to your AI in 30 seconds

An API key is required to connect. Get your free key above, then copy the pre-filled config for your client.

"trends-mcp": {
  "url": "https://api.trendsmcp.ai/mcp",
  "transport": "http",
  "headers": { "Authorization": "Bearer YOUR_API_KEY" }
}

+ Add to Cursor
Or paste into Mac / Linux — ~/.cursor/mcp.json
Windows — %USERPROFILE%\.cursor\mcp.json

↑ Get your free key above first — the config won't work without it.

claude.ai (Pro / Max / Team) — no JSON needed

https://api.trendsmcp.ai/mcp

Settings → Connectors → Add custom connector → paste URL above

Claude Desktop — add inside mcpServers

"trends-mcp": {
  "url": "https://api.trendsmcp.ai/mcp",
  "transport": "http",
  "headers": { "Authorization": "Bearer YOUR_API_KEY" }
}

Mac — ~/Library/Application Support/Claude/claude_desktop_config.json
Windows — %APPDATA%\Claude\claude_desktop_config.json

Fully quit and restart Claude Desktop after saving.

Add inside mcpServers

"trends-mcp": {
  "url": "https://api.trendsmcp.ai/mcp",
  "transport": "http",
  "headers": { "Authorization": "Bearer YOUR_API_KEY" }
}

Mac / Linux — ~/.codeium/windsurf/mcp_config.json
Windows — %USERPROFILE%\.codeium\windsurf\mcp_config.json
Or: Command Palette → Windsurf: Configure MCP Servers

Add inside servers — VS Code uses different key names

"trends-mcp": {
  "type": "http",
  "url": "https://api.trendsmcp.ai/mcp",
  "headers": { "Authorization": "Bearer YOUR_API_KEY" }
}

Paste into .vscode/mcp.json, or:
Command Palette (⇧⌘P / Ctrl+Shift+P) → MCP: Add Server

Data Sources

What you can query

All data is normalized to a 0-100 scale for consistent cross-platform comparison.

Google Trends
Search volume & Google News & Images
YouTube
Video search volume
TikTok
Hashtag volume trends
Reddit
Community discussion volume
Amazon
Product search volume
Wikipedia
Page view trends
News
Volume + sentiment scores
Google Shopping
Shopping search volume
Web Traffic
Site visits via SimilarWeb
App Downloads
Android installs via AppBrain
Steam
Concurrent player counts
npm
Package weekly downloads

Tools

What your AI can call

Four tools. Your AI picks the right one automatically based on what you ask.

get_trends
Historical time series
Raw normalized data for a single source. Weekly mode returns ~5 years of data; daily mode returns the last 30 days. Each data point includes date, normalized value (0-100), and absolute volume where available. Best for charting, custom calculations, and time series modeling. Note: one source per call.
get_growth
Growth metrics
Point-to-point growth for preset periods (7D, 14D, 1M, 3M, 6M, 1Y, YTD, and more) or custom date ranges. Returns % change, volume, direction, and data quality score. Use source='all' for cross-platform aggregated growth, or pass comma-separated sources like 'amazon, tiktok, youtube' for multi-source comparison in one call.
get_growth(keyword='collagen supplements', source='amazon', percent_growth=['1Y', '3M'])
get_ranked_trends
Ranked trend lists
Precomputed ranked lists of top trending keywords or companies. Supports keyword, catalyst, company (single), and company (combined) modes. Filter by sector, industry, country, earnings dates, minimum volume, and data quality. Sort by latest value, week-over-week, month-over-month, or year-over-year growth.
get_top_trends
Live trending now
What is trending right now with no keyword required. Covers: Google Trends, TikTok Trending Hashtags, Reddit Hot Posts, Wikipedia Trending, X (Twitter), App Store Top Free & Paid, Google Play, Spotify Top Podcasts, Google News, SimilarWeb Top Websites, and Amazon Best Sellers.

Outputs

What you get back

Normalized value
0-100 scale, consistent across all platforms
Absolute volume
Raw search / view counts where available
Growth %
Period-over-period change with exact dates
Time series
Up to 5 years of weekly data per keyword
Data quality
Coverage score and zero-value detection
Multi-source
get_growth supports 'all' or comma-separated sources in one call

FAQ

Common questions

JSON with normalized search volume (0-100), absolute volume estimate, growth percentage over the selected period, and a weekly time series array.
No. Trends MCP accesses Amazon search signals through normalized trend data, not the Amazon Advertising API. No seller account or API key is needed.
Yes. The 5-year weekly time series clearly shows seasonal spikes - for example, gifting categories peaking in November-December or summer products peaking in May-June.

Explore more

Amazon search trend data for AI assistants Google Search demand data for AI agents Google Shopping trend data for AI assistants