Trends MCP

SSE

by trendsmcp

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About

Real-time trend data from Google (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, X (Twitter), LinkedIn, Spotify, GitHub, Steam, npm, App Store, news sentiment and web traffic via one MCP connection. Free API key, 20 requests/day, no credit card required.

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SSE

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Setup

Install Trends MCP in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/trendsmcp/trends-mcp

Follow the installation instructions in the repository README, then restart your MCP client.

trendsMCP___get_growth

Analyze growth trends in normalized (0-100 scale) alternative data for investment intelligence. Calculates point-to-point growth comparing two specific data points. Supports preset time periods (12M, 6M, 3M, YTD, etc.) that automatically calculate dates, or custom date comparisons for precise analysis. All data is normalized on a 0-100 relative scale for consistent cross-platform comparison. Returns percentage change, volume metrics, data quality indicators, and exact dates used. Ideal for tr…

trendsMCP___get_ranked_trends

Retrieve ranked top trends using precomputed growth columns from the latest materialized views. Supports keyword, catalysts, companySingle, and companyCombined modes. Returns a ranked list with growth metrics and optional filters for datatype, volume, quality, and company metadata.

trendsMCP___get_top_trends

Retrieve the current top trending items for a specific data source. Returns the latest ranked list for the requested type.

trendsMCP___get_trends

Retrieve normalized (0-100 scale) historical time series data for detailed analysis. Returns full historical data points with values normalized on a 0-100 relative scale and absolute volume metrics when available. All trend values are normalized for consistent cross-temporal and cross-platform comparison. Use this when you need granular data points for custom calculations, charting, or time series modeling. Each data point includes date, normalized trend value (0-100), search volume, keyword,…

Live trend data for your AI. 25+ platforms. One connection.

Google Search · YouTube · TikTok · Reddit · Amazon · Wikipedia · X · News sentiment · App Store · npm · Steam · GitHub · Spotify · and more

Get a free API key →·Docs·Data Sources·Use Cases

Your AI has a training cutoff. The world doesn't.

You: "Using TrendsMCP, compare 6-month growth for 'GLP-1' across Google, TikTok and Amazon." Claude: GLP-1 momentum, last 6 months: Google Search +84% (accelerating) TikTok +212% (breakout) Amazon +61% (steady)

One MCP endpoint replaces per-platform API keys, brittle scrapers (looking at you, pytrends), and $500/mo dashboard tools. Everything comes back as normalized 0–100 JSON your AI can reason over directly — ~5 years of weekly history per keyword.

1.Grab a free API key attrendsmcp.ai— 100 requests/mo, no credit card.

Add to Claude·Add to Cursor·Smithery

{ "mcpServers": { "trends-mcp": { "url": "https://api.trendsmcp.ai/mcp", "transport": "http", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } }
{ "mcpServers": { "trends-mcp": { "type": "streamableHttp", "url": "https://api.trendsmcp.ai/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY" }, "disabled": false } } }
{ "servers": { "trends-mcp": { "type": "http", "url": "https://api.trendsmcp.ai/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } }
{ "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" } } } }
Using TrendsMCP, what's trending on Google right now?

Keyword sources(get_trends/get_growth):google search,google images,google news,google shopping,youtube,tiktok,reddit,amazon,wikipedia,news volume,news sentiment,app downloads,app rankings,npm,steam

Live feeds(get_top_trends): Google Trends, Google News, TikTok Hashtags, YouTube, X (Twitter), Reddit Hot / World News, Wikipedia, Amazon Best Sellers, App Store Free/Paid, Google Play, Top Websites, Spotify Podcasts, Steam Most Played, GitHub Trending Repos, IMDb, Open Library →full reference

Is consumer interest in 'creatine gummies' growing or dying? Check Google, TikTok and Amazon.
Which npm packages in the MCP ecosystem are growing fastest right now?
Show news sentiment for 'Meta' over the past 6 months — is coverage turning positive?
Pull 5-year Google trend data for 'protein soda' and tell me if this is a fad or a durable shift.
What's on GitHub Trending today, and which repos relate to AI agents?

More recipes inexamples/— market research, SEO, e-commerce demand validation, investor signal scans, content calendars.

import requests r = requests.post( "https://api.trendsmcp.ai/api", headers={"Authorization": "Bearer YOUR_API_KEY"}, json={"mode": "get_growth", "source": "google search", "keyword": "bitcoin", "percent_growth": ["3M", "12M"]}, ) print(r.json())

Full API reference:trendsmcp.ai/docs· Errors are JSON witherror+message; hitting your monthly cap returns429 rate_limited— no surprise overages.

Claude·Cursor·VS Code·Windsurf·Copilot·Cline·ChatGPT·Raycast·OpenAI

Google Trends·YouTube·TikTok·Reddit·Amazon·Wikipedia·News sentiment·Web traffic·App downloads·Steam·npm·X/Twitter·GitHub·Spotify·Google Shopping·Google News·Google Images

Market research·Investment research·Competitor tracking·Brand monitoring·SEO keyword research·Content strategy·Social listening·E-commerce product research·Viral trend detection·pytrends alternative·Exploding Topics alternative·Glimpse alternative·Semrush alternative·SimilarWeb alternative

- TrendWatch— free trend-monitoring bot that runs in your own GitHub repo. Slack/Discord/Telegram/email alerts when a keyword spikes. No server needed.
- Single-source MCP servers:
google-search-trends-mcp·tiktok-trends-mcp·reddit-trends-mcp·news-sentiment-mcp·steam-trends-mcp·more →

If Trends MCP saves you from writing another scraper,give it a ⭐— it genuinely helps.

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