MCP Server

All data sources

Every platform available via Trends MCP. One connection gives your AI access to all of them.

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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

32 pages across 6 categories

Click any source to see full documentation, example queries, and FAQs.

Google

Google Trends data for AI assistants
Ask your AI what is trending on Google right now. Get breakout keywords, rising topics, and 5 years of normalized search interest data - without writing a single line of scraping code.
Google Search trend data via MCP
Track how Google Search volume for any keyword has moved over time. Period-over-period growth, rising queries, and declining signals - structured data your AI can act on directly.
Google Search demand data for AI agents
Raw, structured Google Search demand data delivered directly to your AI. No API keys, no quotas, no scraping. Just query a keyword and get normalized volume, historical series, and growth signals back in seconds.
Google Trends data for AI
Google Trends data is valuable but hard to use programmatically. Trends MCP solves that: structured, normalized Google Search trend data delivered to any AI assistant via MCP. Ask your AI about search momentum, breakout keywords, or 5-year trends for any topic -- and get clean, reasoned answers.
Google Shopping trend data for AI assistants
Google Shopping search signals reveal active product purchase intent. When people search on Google Shopping, they are ready to buy. Track which product categories and keywords are driving purchase intent right now.

Social & Video

YouTube trend data for AI assistants
Find out what people are searching for on YouTube. Rising topics, growing video keywords, and historical search demand - all queryable by your AI in plain language.
YouTube search volume data for AI agents
Structured YouTube keyword search volume delivered to your AI. Identify which topics are gaining traction on the world's largest video platform - with growth rates, time series, and cross-platform comparison built in.
TikTok trend data for AI assistants
Spot TikTok trends before they go mainstream. Track hashtag volume growth, viral spikes, and platform-specific demand signals - all accessible from your AI in plain language.
TikTok hashtag volume data for AI agents
Structured TikTok hashtag data your AI can analyze, rank, and act on. Track which hashtags are growing, which are peaking, and which are fading - with normalized volume and growth rates per period.
Reddit discussion trend data for AI
Measure how much Reddit is talking about any topic. Community discussion volume, growing subreddit interest, and historical activity data - all queryable from your AI without hitting Reddit API limits.
Reddit discussion volume data for AI agents
Structured Reddit discussion data your AI can use to gauge community interest at scale. Find out which topics are gaining Reddit momentum, and whether that momentum is accelerating or cooling.
Twitter / X trend signals for AI assistants
Track what is breaking on X / Twitter in real time. Social conversation volume, viral topic signals, and historical activity data - without the X API cost.
X (formerly Twitter) trend data for AI agents
Social conversation volume for any topic on X. Whether you are tracking a brand, a news story, or an emerging technology, X trend signals give your AI a pulse on real-time public discourse.
LinkedIn topic trend data for AI assistants
Measure professional and B2B interest in any topic. LinkedIn trend signals reveal what business audiences are actively discussing and searching - useful for B2B content strategy, hiring signals, and industry momentum tracking.
Facebook and social media trends for AI assistants
Facebook does not offer a public trends API, but the signals are in the data. Trends MCP triangulates social trend momentum using News sentiment and volume, Reddit discussion trends, and cross-platform search signals -- giving your AI a proxy for Facebook-level social interest without requiring Facebook API access.
Spotify and podcast trends for AI assistants
Music and podcasts are leading cultural indicators -- what is trending on Spotify often predicts what will trend everywhere else. Trends MCP gives your AI access to Spotify trend signals alongside YouTube audio content search volume and News coverage of artists, genres, and podcast topics.

Commerce

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.
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.

News & Web

News sentiment and volume data for AI
Understand how the news is covering any topic - and whether that coverage is positive or negative. Sentiment scores, media volume trends, and historical coverage data structured for AI analysis.
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.
Web traffic trend data for AI assistants
Track website visit trends for any domain or company. Measure audience growth, detect traffic spikes from product launches or press coverage, and compare competitors side by side - all from your AI.
Website traffic growth trends for AI agents
Measure how website traffic is growing or declining for any domain. Competitive benchmarking, traffic spike attribution, and long-term audience growth signals - structured for AI analysis.
Wikipedia page view trend data for AI
Wikipedia page views reveal what the world is suddenly curious about. Spike detection, historical page traffic, and cross-platform comparison - giving your AI a unique information-demand signal that precedes mainstream search.
Wikipedia page view data for AI agents
Structured Wikipedia traffic data for any topic, delivered to your AI. Measure information-seeking volume, detect sudden spikes from news events, and correlate with search and social signals across the same timeline.

Apps & Developer

App download trend data for AI assistants
Track mobile app growth signals for any app or category. Download trend data reveals which apps are gaining users, which categories are booming, and where mobile consumer attention is shifting.
App store trend signals for AI agents
Understand mobile app store momentum for any app or category. Which apps are climbing in installs? Which categories are growing fastest? App store trend data gives your AI mobile market intelligence without an app store API.
Steam player trend data for AI assistants
Track concurrent player counts and game momentum for any title on Steam. Player trend data reveals which games are growing, which are declining, and when major launches or updates are driving spikes.
npm package trend data for AI assistants
Track weekly download counts for any npm package. Package download trends reveal which JavaScript libraries and frameworks developers are adopting, which are losing ground, and where the ecosystem is heading.
GitHub and developer trends for AI assistants
Which frameworks are developers actually adopting? Which npm packages are growing fastest? Trends MCP gives your AI structured developer trend data from npm downloads, cross-referenced with Google Search and Reddit discussion volume -- so you can make technology decisions backed by real adoption data, not hype.

Global & AI

Baidu search trends for AI assistants
Baidu is China's dominant search engine with over 600 million monthly users. Trends MCP gives your AI access to Baidu search trend data -- track keyword interest in China, monitor Chinese consumer demand signals, and compare mainland search momentum against global platforms in a single query.
ChatGPT and AI tool adoption trends
The AI landscape moves faster than any single data source can track. Trends MCP lets your AI monitor ChatGPT search interest, AI tool adoption signals, and model comparison trends across Google Search, Reddit, YouTube, and News -- so you can stay on top of what is actually gaining traction in the AI space.
Spotify and audio trend data for AI assistants
Track music genre momentum, podcast topic interest, and artist search trends. Spotify-related demand signals derived from Google Search volume reveal what audio content audiences are seeking before listening platforms surface it in their own charts.

FAQ

Common questions

12+ active sources including Google Search, Google Shopping, Google Images, Google News, YouTube, TikTok, Reddit, Amazon, Wikipedia, News Sentiment, News Volume, Web Traffic (SimilarWeb), App Downloads (AppBrain/Google Play), Steam, and npm.
Yes, for growth queries. Use source='all' in get_growth to get aggregated, volume-weighted growth across every available platform in a single call. For raw time series (get_trends), specify one source at a time.
Yes. Every source returns values on a 0-100 scale regardless of the platform, so you can compare Google Search interest against TikTok hashtag volume on an equal footing.
Paste the JSON config snippet into your MCP client settings. It works with Claude, Cursor, Windsurf, GitHub Copilot, Raycast, ChatGPT, and VS Code. No individual API keys required.

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