MCP Server

AI-powered brand monitoring with live signals

Track how your brand is growing -- or where it is losing momentum. Trends MCP gives your AI live brand search volume, Reddit community discussion, news sentiment, and web traffic data so you can monitor brand health across every channel in one conversation.

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='your brand name', source='google search, reddit, news sentiment, news volume', percent_growth=['1M', '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

Brand search volume (Google Search interest in your brand name over time), Reddit discussion volume (community conversation around your brand), news sentiment and volume (whether media coverage is positive, negative, or growing), social momentum (TikTok and YouTube mention trends), and web traffic trends for your domain.
Yes. Query multiple brand names in one session and compare growth trajectories. This is the core competitive benchmarking workflow -- your AI handles all the data retrieval and presents a comparison in whatever format you need.
Social listening tools (Brandwatch, Sprout Social) monitor individual mentions and comments. Trends MCP tracks aggregate volume signals -- how much total discussion, search, and media attention a brand is receiving and whether it is growing. Trends MCP is better for trend direction and momentum; social listening is better for individual mention analysis.
Not as push alerts -- Trends MCP is a query-based tool. But you can ask your AI to check brand signals on a regular cadence and summarize changes. Pair it with a scheduling tool or AI agent workflow to automate monitoring.

Explore more

AI-powered competitor tracking with live signals News sentiment and volume data for AI Reddit discussion trend data for AI Web traffic trend data for AI assistants