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Trends MCP

ai.trendsmcp/trends
4 toolsauthHTTPregistry active
Summary

Pulls live trend data from Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, and Steam into your AI workspace via a streamable HTTP transport. You get normalized time series and ranking snapshots without scraping selectors or managing rate limits yourself. Useful when you need to ground a product decision in search volume, check if a keyword is spiking before you write content, or compare buzz across platforms in a single call. Free tier gives you 100 requests per month, paid plans scale from there. The MCP integration wires into Claude Desktop, Cursor, Windsurf, and VS Code with a bearer token in your config.

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Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
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Make money from your Skills
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Tools

Public tool metadata for what this MCP can expose to an agent.

4 tools
trendsMCP___get_growthAnalyze 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 compari...3 params

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 compari...

Parameters* required
sourcestring
Data source for analysis. Single source options: 'google search' (search volume), 'google images' (image search volume), 'google news' (news search volume), 'google shopping' (shopping search volume), 'youtube' (video search volume), 'wikipedia' (page views), 'tiktok' (hashtag volume), 'reddit' (subreddit subscriber growth — keyword must be a subreddit name e.g. 'technology', 'bitcoin'; 30-day window only, NOT post trends), 'amazon' (product search volume), 'news sentiment' (news sentiment analysis), 'news volume' (news volume intensity), 'npm' (npm package weekly download counts — keyword must be exact npm package name e.g. 'react', '@babel/core'), 'steam' (Steam concurrent player counts, monthly — keyword must be the game display name e.g. 'Elden Ring'; auto-resolved via Steam store search, first result wins — use specific names to avoid wrong matches; response volume = peak players, value = normalized avg players 0-100), 'app downloads' (Android app download estimates — keyword MUST be the Android bundle ID e.g. 'com.openai.chatgpt', NOT the display name). For multi-source analysis with aggregated volume-weighted growth metrics, use comma-separated sources (e.g., 'amazon, tiktok, youtube').
keywordstring
Search term, brand name, product, company, or topic to analyze. IMPORTANT: the required format depends on the source. For standard sources (google search, youtube, tiktok, etc.): use any descriptive name or phrase (e.g., 'apple', 'nike', 'electric vehicles'). For 'reddit': MUST be a subreddit name (without r/) — returns daily subscriber growth over the last 30 days, NOT post trends. For 'npm': MUST be the exact npm package name as listed on npmjs.com — case-sensitive, e.g. 'react', 'lodash', '@babel/core'. For 'steam': use the game's display name in plain English (e.g., 'Elden Ring', 'CS2') — the system auto-resolves to the Steam App ID by taking the first result from Steam's store search, so use specific unambiguous names to avoid matching the wrong game. For 'app downloads': MUST be the Android bundle ID / package name, NOT the display name — e.g. 'com.openai.chatgpt', 'com.whatsapp'; find it in the Google Play URL: play.google.com/store/apps/details?id=THIS_PART.
percent_growtharray
Array of growth period strings. Presets include: '7D', '14D', '30D', '1M', '2M', '3M', '6M', '9M', '12M', '18M', '24M', '36M', '48M', '60M', 'MTD', 'QTD', 'YTD'. Defaults to ['12M'] if not specified.
trendsMCP___get_ranked_trendsRetrieve 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 meta...18 params

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 meta...

Parameters* required
sortstring
Primary sort column.
limitinteger
Max number of rows to return. Default 100, max 500.
orderstring
Sort order.
min_r2number
Minimum monthly_stock_r2 filter from backtest metrics.
sectorstring
Filter by company sector.
sourcestring
Datatype name or datatype id for keyword or companySingle modes. Use 'all' or omit for no datatype filter.
countrystring
Filter by company country code. Example: 'US'.
industrystring
Filter by company industry.
min_volumeinteger
Minimum volume filter for keyword or catalysts modes.
earnings_tostring
Earnings date end, YYYY-MM-DD.
entity_modestring
Entity mode. Options: 'keyword', 'catalysts', 'companySingle', 'companyCombined'.
keyword_idsstring
Keyword ids for keyword or catalysts mode. Use comma-separated ids like '12,34,56'.
earnings_fromstring
Earnings date start, YYYY-MM-DD.
max_zero_valuenumber
Maximum zero value percent filter when available.
secondary_sortstring
Secondary sort. Options: 'volume' or 'yoy_growth'.
earnings_enabledboolean
Enable earnings date filter when true.
min_data_sources_pctnumber
Minimum percentage of available data sources for the selected period.
related_companies_limitinteger
Maximum number of related company symbols to return for keyword or catalysts modes. Default 5.
trendsMCP___get_top_trendsRetrieve the current top trending items for a specific data source. Returns the latest ranked list for the requested type.3 params

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

Parameters* required
typestring
The data source to retrieve top trends for. Options: 'Amazon Best Sellers Top Rated', 'Amazon Best Sellers by Category', 'App Store Top Free', 'App Store Top Paid', 'Google News Top News', 'Google Play', 'Google Trends', 'Reddit Hot Posts', 'Reddit World News', 'SimilarWeb Top Websites', 'Spotify Top Podcasts', 'TikTok Trending Hashtags', 'Wikipedia Trending', 'X (Twitter) Trending', 'YouTube Trending'.
limitinteger
Number of rows to return per page. Default 25, max 200.
offsetinteger
Number of rows to skip for pagination. Use multiples of 25 to page through results. Examples: offset 0 = ranks 1-25, offset 25 = ranks 26-50, offset 50 = ranks 51-75. Default 0.
trendsMCP___get_trendsRetrieve 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 a...3 params

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 a...

Parameters* required
sourcestring
Data source for retrieval. Must be exactly one source (no comma-separated lists). Options: 'google search' (search volume), 'google images' (image search volume), 'google news' (news search volume), 'google shopping' (shopping search volume), 'youtube' (video search volume), 'wikipedia' (page views), 'tiktok' (hashtag volume), 'reddit' (subreddit subscriber growth — keyword must be a subreddit name e.g. 'technology', 'bitcoin'; 30-day window only, NOT post trends), 'amazon' (product search volume), 'news sentiment' (news sentiment analysis), 'news volume' (news volume intensity), 'npm' (npm package weekly download counts — keyword must be exact npm package name e.g. 'react', '@babel/core'), 'steam' (Steam concurrent player counts, monthly granularity — keyword must be game display name e.g. 'Elden Ring'; auto-resolved via Steam store search first result; response volume = peak players, value = normalized avg players 0-100), 'app downloads' (Android app download estimates — keyword MUST be the Android bundle ID e.g. 'com.openai.chatgpt', NOT the display name).
keywordstring
Search term, brand name, product, company, or topic to retrieve historical data for. IMPORTANT: the required format depends on the source. For standard sources (google search, youtube, tiktok, etc.): use any descriptive name or phrase (e.g., 'tesla', 'artificial intelligence'). For 'reddit': MUST be a subreddit name (without r/) — returns daily subscriber growth over the last 30 days, NOT post trends. For 'npm': MUST be the exact npm package name as listed on npmjs.com — case-sensitive, e.g. 'react', 'lodash', '@babel/core'. For 'steam': use the game's display name in plain English (e.g., 'Elden Ring', 'CS2') — auto-resolved to Steam App ID via Steam store search, first result wins, so use specific unambiguous names. For 'app downloads': MUST be the Android bundle ID, NOT the display name — e.g. 'com.openai.chatgpt'; find it in the Google Play URL: play.google.com/store/apps/details?id=THIS_PART.
data_modestring
Data granularity mode. 'weekly' for longer history; 'daily' for short high-resolution windows.
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Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
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Categories
Data & AnalyticsMedia & Entertainment
Registryactive
TransportHTTP
AuthRequired
UpdatedMar 30, 2026
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