Analyze keyword popularity trends for Google Search, News, and Shopping to track search volume changes over time and identify seasonal patterns.
Apache 2.0
131,771 tools. Last updated 2026-05-11 16:09
"A platform for exploring shopping and fashion trends" matching MCP tools:
- Analyze keyword popularity trends from Google Trends Explore for Search, News, Images, Shopping, and YouTube to inform content and SEO strategies.Apache 2.0
- Fetch Musinsa fashion ranking data by category to track Korea's trends. Choose category slug (e.g., outer, top) and limit items up to 100.MIT
- Analyze keyword popularity trends for Google Search, News, and Shopping to inform SEO strategies and content planning.
- Analyze keyword popularity trends from Google Trends Explore for Search, News, Images, Shopping, and YouTube to inform content and marketing strategies.
- Analyze keyword popularity trends from Google Trends Explore data across Search, News, Images, Shopping, and YouTube to inform content strategy and market research decisions.
Matching MCP Servers
- AlicenseAqualityCmaintenanceA MCP server that aggregates hot trends and rankings from various Chinese websites and platforms including Weibo, Zhihu, Bilibili, and more.Last updated21599242MIT
- Alicense-qualityCmaintenanceReal-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam, Spotify, X (Twitter), App Store, Google Play, web traffic, and news sentiment via one MCP connection. Works with Claude, Cursor, VS Code, Windsurf, ChatGPT, and any MCP-compatible AI.Last updated3MIT
Matching MCP Connectors
Google Trends: Search, Images, News, Shopping over time, growth metrics. Free key at trendsmcp.ai
AI shopping comparison — search 50M+ products, compare prices, find deals
- Analyze keyword popularity trends across Google Search, News, and Shopping to track search volume patterns and identify seasonal variations for content strategy.
- Extract product information from Google Shopping by product ID. Choose from offers, specs, or reviews with filters for free shipping, used condition, price sorting, and seller rating.MIT
- Fetch Google Trends data including interest over time, geographic breakdowns, and related topics/queries. Supports multiple queries, custom dates, and categories for demand forecasting and seasonality analysis.MIT
- Scrapes Google Shopping search results for product titles, prices, ratings, and merchant info. Use for price tracking, catalog building, and promotion discovery.MIT
- Retrieve per-user request and cost analytics for a specified time range. Use for individual user usage tracking, not cohort trends.MIT
- Retrieve the compiled implementation spec for a blueprint, including agent count, platform, and included artifacts.
- Locate supermarkets near your GPS coordinates to plan shopping routes and compare prices across stores in Argentina. Search by latitude/longitude with customizable radius.MIT
- Add products to an existing shopping list with optional details like barcode, quantity, and notes. Enables building comprehensive lists for price comparison across Argentine supermarkets.MIT
- Search all scraped Reddit data for posts or comments matching a query. Find specific topics or trends without requiring API keys.MIT
- Delete a shopping list and all its items from active lists, with soft-delete functionality allowing recovery if needed.MIT
- Create shopping lists to organize purchases and compare supermarket prices in Argentina. Start with an empty list or add items immediately, then optimize where to buy for the best deals.MIT
- Retrieve a list of all blueprints for your organization, including each blueprint's ID, title, platform, agent count, and lifecycle status.
- Create shopping intents with authorized merchants to define customer purchase goals and enable personalized shopping assistance through the Shopper Context Protocol.MIT
- Compares prices across all supermarkets in Argentina to find the lowest total cost for your complete shopping list, showing itemized savings.MIT