search-webanalytics-data

Chinese Trends Hub

baranwang

by baranwang

Chinese Trends Hub gives you real-time trending topics from major Chinese platforms like Weibo, Zhihu, Douyin, and more,

Provides real-time access to trending topics and content from major Chinese platforms including Weibo, Zhihu, Douyin, Bilibili, Douban, Toutiao, and 36kr through separate tools with temporary caching for improved performance.

github stars

225

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

20+ Chinese data sourcesReal-time trend monitoringBuilt-in caching for performance

best for

  • / Tracking Chinese social media trends
  • / Monitoring Chinese tech industry news
  • / Research on Chinese digital culture
  • / Content creators targeting Chinese audiences

capabilities

  • / Get trending topics from Weibo and Douyin
  • / Fetch video rankings from Bilibili
  • / Access tech news from InfoQ and 36kr
  • / Retrieve entertainment rankings from Douban
  • / Monitor gaming news from Gcores
  • / Pull developer articles from Juejin

what it does

Provides real-time access to trending topics and news from 20+ Chinese platforms including Weibo, Douyin, Bilibili, and major tech sites. Aggregates hot topics, viral content, and tech news from across the Chinese internet.

about

Chinese Trends Hub is a community-built MCP server published by baranwang that provides AI assistants with tools and capabilities via the Model Context Protocol. Chinese Trends Hub gives you real-time trending topics from major Chinese platforms like Weibo, Zhihu, Douyin, and more, It is categorized under search web, analytics data. This server exposes 21 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Chinese Trends Hub in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Chinese Trends Hub is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

🔥 Trends Hub

smithery badge NPM Version NPM License

基于 Model Context Protocol (MCP) 协议的全网热点趋势一站式聚合服务

示例效果

<picture> <source media="(prefers-color-scheme: dark)" srcset="./assets/case-dark.png"> <img src="./assets/case-light.png" alt="Trends Hub 示例"> </picture>

✨ 特性

  • 📊 一站式聚合 - 聚合全网热点资讯,20+ 优质数据源
  • 🔄 实时更新 - 保持与源站同步的最新热点数据
  • 🧩 MCP 协议支持 - 完全兼容 Model Context Protocol,轻松集成到 AI 应用
  • 🔌 易于扩展 - 简单配置即可添加自定义 RSS 源
  • 🎨 灵活定制 - 通过环境变量轻松调整返回字段

📋 环境要求

  • Node.js 22 或更新版本
  • VS Code、Cursor、Windsurf、Claude Desktop 或其他 MCP 客户端

🚀 快速开始

首先,在你的 MCP 客户端中安装 Trends Hub MCP 服务。

标准配置适用于大部分客户端:

{
  "mcpServers": {
    "trends-hub": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-trends-hub"
      ]
    }
  }
}
<details> <summary>Claude Desktop</summary>

参考 MCP 安装指南,使用上述标准配置。

配置文件位置:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
</details> <details> <summary>Cursor</summary>

前往 Cursor Settings -> MCP -> Add new MCP Server。自定义名称,类型选择 command,命令填写 npx -y mcp-trends-hub

</details> <details> <summary>VS Code</summary>

参考 MCP 安装指南,使用上述标准配置。

你也可以使用 VS Code CLI 安装:

code --add-mcp '{"name":"trends-hub","command":"npx","args":["-y","mcp-trends-hub"]}'
</details> <details> <summary>Windsurf</summary>

参考 Windsurf MCP 文档,使用上述标准配置。

</details> <details> <summary>Cline</summary>

参考 Configuring MCP Servers 文档。

cline_mcp_settings.json 中添加:

{
  "mcpServers": {
    "trends-hub": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "mcp-trends-hub"],
      "disabled": false
    }
  }
}
</details> <details> <summary>Smithery</summary>

通过 Smithery 一键安装(仅支持 Claude Desktop):

npx -y @smithery/cli install @baranwang/mcp-trends-hub --client claude
</details> <details> <summary>MCPorter</summary>

MCPorter 是一个强大的 MCP 工具包,可通过 TypeScript 或 CLI 调用 MCP,适合 OpenClaw(Clawdbot/Moltbot) 等场景使用。

使用 CLI 添加:

npx mcporter add mcp-trends-hub -- npx -y mcp-trends-hub

或在配置文件中添加:

{
  "mcps": {
    "trends-hub": {
      "command": "npx",
      "args": ["-y", "mcp-trends-hub"]
    }
  }
}
</details>

⚙️ 配置选项

Trends Hub 支持以下环境变量配置,可在 JSON 配置的 "env" 对象中设置:

选项说明
TRENDS_HUB_HIDDEN_FIELDS隐藏返回数据中的指定字段。<br>作用于所有工具:{field-name}(如 cover<br>作用于特定工具:{tool-name}:{field-name}(如 get_toutiao_trending:cover<br>多个配置用逗号分隔
TRENDS_HUB_CUSTOM_RSS_URL添加自定义 RSS 订阅源,支持多个 URL(逗号分隔)<br>工具名根据 hostname 自动生成(如 news_yahoo_com<br>相同域名会添加数字后缀避免冲突

示例配置:

{
  "mcpServers": {
    "trends-hub": {
      "command": "npx",
      "args": ["-y", "mcp-trends-hub"],
      "env": {
        "TRENDS_HUB_HIDDEN_FIELDS": "cover,get_nytimes_news:description",
        "TRENDS_HUB_CUSTOM_RSS_URL": "https://news.yahoo.com/rss,https://sspai.com/feed"
      }
    }
  }
}

🛠️ 支持的工具

<!-- tools-start -->
工具名称描述
get_36kr_trending获取 36 氪热榜,提供创业、商业、科技领域的热门资讯,包含投融资动态、新兴产业分析和商业模式创新信息
get_9to5mac_news获取 9to5Mac 苹果相关新闻,包含苹果产品发布、iOS 更新、Mac 硬件、应用推荐及苹果公司动态的英文资讯
get_bbc_news获取 BBC 新闻,提供全球新闻、英国新闻、商业、政治、健康、教育、科技、娱乐等资讯
get_bilibili_rank获取哔哩哔哩视频排行榜,包含全站、动画、音乐、游戏等多个分区的热门视频,反映当下年轻人的内容消费趋势
get_douban_rank获取豆瓣实时热门榜单,提供当前热门的图书、电影、电视剧、综艺等作品信息,包含评分和热度数据
get_douyin_trending获取抖音热搜榜单,展示当下最热门的社会话题、娱乐事件、网络热点和流行趋势
get_gcores_new获取机核网游戏相关资讯,包含电子游戏评测、玩家文化、游戏开发和游戏周边产品的深度内容
get_ifanr_news获取爱范儿科技快讯,包含最新的科技产品、数码设备、互联网动态等前沿科技资讯
get_infoq_news获取 InfoQ 技术资讯,包含软件开发、架构设计、云计算、AI等企业级技术内容和前沿开发者动态
get_juejin_article_rank获取掘金文章榜,包含前端开发、后端技术、人工智能、移动开发及技术架构等领域的高质量中文技术文章和教程
get_netease_news_trending获取网易新闻热点榜,包含时政要闻、社会事件、财经资讯、科技动态及娱乐体育的全方位中文新闻资讯
get_nytimes_news获取纽约时报新闻,包含国际政治、经济金融、社会文化、科学技术及艺术评论的高质量英文或中文国际新闻资讯
get_smzdm_rank获取什么值得买热门,包含商品推荐、优惠信息、购物攻略、产品评测及消费经验分享的实用中文消费类资讯
get_sspai_rank获取少数派热榜,包含数码产品评测、软件应用推荐、生活方式指南及效率工作技巧的优质中文科技生活类内容
get_tencent_news_trending获取腾讯新闻热点榜,包含国内外时事、社会热点、财经资讯、娱乐动态及体育赛事的综合性中文新闻资讯
get_thepaper_trending获取澎湃新闻热榜,包含时政要闻、财经动态、社会事件、文化教育及深度报道的高质量中文新闻资讯
get_theverge_news获取 The Verge 新闻,包含科技创新、数码产品评测、互联网趋势及科技公司动态的英文科技资讯
get_toutiao_trending获取今日头条热榜,包含时政要闻、社会事件、国际新闻、科技发展及娱乐八卦等多领域的热门中文资讯
get_weibo_trending获取微博热搜榜,包含时事热点、社会现象、娱乐新闻、明星动态及网络热议话题的实时热门中文资讯
get_weread_rank获取微信读书排行榜,包含热门小说、畅销书籍、新书推荐及各类文学作品的阅读数据和排名信息
get_zhihu_trending获取知乎热榜,包含时事热点、社会话题、科技动态、娱乐八卦等多领域的热门问答和讨论的中文资讯
<!-- tools-end -->

更多数据源正在持续增加中

鸣谢

FAQ

What is the Chinese Trends Hub MCP server?
Chinese Trends Hub is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Chinese Trends Hub?
This profile displays 67 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Web Research & Information Gathering

Fetch and extract information from websites automatically

Example

Research competitor pricing, scrape product reviews, monitor news mentions

Automate 5-10 hours/week of manual web research

Content Monitoring & Alerts

Track website changes, new content, price updates

Example

Monitor competitor blog for new posts, track stock availability, watch for pricing changes

Stay informed without manual checking, never miss important updates

Data Extraction & Aggregation

Extract structured data from multiple websites

Example

Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data

Build datasets 100x faster than manual copying

API-less Integration

Interact with services that don't offer APIs

Example

Check form submissions, validate website functionality, test user flows

Automate interactions with any website, even without API

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ Use When

Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.

✗ Avoid When

Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.767 reviews
  • James Nasser· Dec 28, 2024

    Chinese Trends Hub is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Sakura Rahman· Dec 28, 2024

    Chinese Trends Hub reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Shikha Mishra· Dec 24, 2024

    Chinese Trends Hub reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Zara Garcia· Dec 20, 2024

    Useful MCP listing: Chinese Trends Hub is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Jin Kapoor· Dec 16, 2024

    We wired Chinese Trends Hub into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Ganesh Mohane· Dec 4, 2024

    According to our notes, Chinese Trends Hub benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Charlotte Agarwal· Nov 19, 2024

    Chinese Trends Hub is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Yash Thakker· Nov 15, 2024

    I recommend Chinese Trends Hub for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Zara Haddad· Nov 11, 2024

    Strong directory entry: Chinese Trends Hub surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Charlotte Chawla· Nov 7, 2024

    Chinese Trends Hub has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

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