Trends Hub
by baranwang
Trends Hub is a one-stop aggregation service for hot trends across the entire network based on the Model Context Protocol (MCP). It aggregates hot information from the entire network, with 20+ high-quality data sources.
Last updated: N/A
What is Trends Hub?
Trends Hub is a service that aggregates hot trends from various sources across the internet, adhering to the Model Context Protocol (MCP) for easy integration with AI applications. It provides a unified interface to access trending topics from over 20 data sources.
How to use Trends Hub?
To use Trends Hub, you need to understand the MCP protocol. You can configure it using JSON or command-line configurations as shown in the README. You can also install it via Smithery. Environment variables can be used to customize the returned fields and add custom RSS feeds.
Key features of Trends Hub
One-stop aggregation of hot information from 20+ sources
Real-time updates synchronized with source sites
Full compatibility with Model Context Protocol (MCP)
Easy extension with custom RSS feeds
Flexible customization of returned fields via environment variables
Use cases of Trends Hub
Integrating trending topics into AI applications
Monitoring real-time trends across various platforms
Customizing data feeds for specific needs
Adding custom RSS feeds for personalized content aggregation
FAQ from Trends Hub
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standard for integrating data sources with AI applications.
How do I add a custom RSS feed?
How do I add a custom RSS feed?
You can add a custom RSS feed by setting the TRENDS_HUB_CUSTOM_RSS_URL environment variable.
How do I hide specific fields in the returned data?
How do I hide specific fields in the returned data?
You can hide fields by setting the TRENDS_HUB_HIDDEN_FIELDS environment variable.
What data sources are supported?
What data sources are supported?
Trends Hub supports over 20 data sources, including 36kr, 9to5Mac, BBC News, Bilibili, Douban, Douyin, Gcores, iFanr, InfoQ, Juejin, Netease News, NYTimes, SMZDM, SSPAI, Tencent News, ThePaper, TheVerge, Toutiao, Weibo, WeChat Read, and Zhihu.
How often is the data updated?
How often is the data updated?
The data is updated in real-time, synchronized with the source websites.