MCP Server

News media volume data for AI agents

Track media coverage intensity for any topic over time. How much is the press covering a company, trend, or event? News volume data tells you whether attention is building, peaking, or fading.

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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='artificial intelligence regulation', source='news volume', percent_growth=['6M', '1Y'])
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

A normalized signal representing how much news coverage a topic is receiving over time. High volume means lots of articles; low volume means the topic has dropped out of media attention.
Volume measures quantity of coverage. Sentiment measures tone. A company can have high news volume with negative sentiment (a crisis) or low volume with positive sentiment (quiet steady growth). Both signals together give a fuller picture.
Yes. Use get_top_trends with source='news' to see what is spiking in news coverage right now, without specifying a keyword.

Explore more

News sentiment and volume data for AI Reddit discussion trend data for AI Wikipedia page view trend data for AI

Change leaves a trace.