What is Mcp Weibohot Server

The Pulse CN MCP Server is a Model Context Protocol (MCP) server designed to provide real-time access to trending data from various popular platforms across the Chinese internet. It serves as an interface between AI models and up-to-date content, allowing for dynamic and relevant information retrieval.

Use cases

This server can be utilized by AI models to access and integrate real-time trending topics such as social media buzz, news headlines, horoscopes, and motivational quotes. This integration can enhance applications in areas like content generation, sentiment analysis, and personalized recommendations.

How to use

To use the Pulse CN MCP Server, first clone the repository and install the dependencies using npm or Bun. Start the server with the provided commands. Once running, connect your AI model to the server and call the appropriate tools via predefined endpoints to access trending content.

Key features

The server offers access to real-time data from 18 major Chinese platforms, including Weibo, Zhihu, and Baidu, among others. It provides tools for areas such as trending topics, daily horoscope predictions, and aggregated news, with several tools fully implemented and more in development.

Where to use

The server is suitable for applications that require real-time insights from the Chinese internet, including chatbot development, recommendation systems, and any AI model that benefits from current trends in social media, news, and popular culture.

🌟 Overview

Pulse CN MCP Server enables AI models to access up-to-date information about what’s trending on the Chinese internet. Built with the Model Context Protocol (MCP), it acts as a bridge between AI models and real-time data from China’s most popular social media platforms, news sites, and content aggregators.

✨ Features

The server provides real-time access to trending data from 18 major Chinese platforms:

Platform	Content	Status
🔮 星座运势	Daily horoscope predictions	✅
💬 每日一句励志英语	Daily motivational English quotes	✅
📊 热搜热榜聚合	Aggregated trending topics	✅
🔥 微博实时热搜	Weibo real-time trending topics	✅
📰 今日头条热搜	Today’s Headlines trending news	✅
📝 澎湃新闻热搜	ThePaper.cn news trending topics	✅
🏀 虎扑步行街热搜	Hupu BXJ real-time trends	🔜
❓ 知乎实时热搜	Zhihu real-time trending topics	🔜
📔 知乎每日日报	Zhihu daily digest	🔜
💼 36氪24小时热榜	36Kr 24-hour trending business news	🔜
🎬 哔哩哔哩全站日榜	Bilibili daily rankings	🔜
🔍 百度热点热榜	Baidu trending topics	🔜
📱 抖音热点热榜	Douyin trending topics	🔜
👥 豆瓣小组精选	Douban group featured content	🔜
💻 IT资讯热榜	IT news trending topics	🔜
📈 虎嗅网热榜	Huxiu 24-hour trending topics	🔜
📱 产品经理热文榜	Woshipm daily popular articles	🔜
🐞 虫族部落最新热门	Chongbuluo latest popular content	🔜

🚀 Installation

# Clone the repository
git clone https://github.com/wangtsiao/pulse-cn-mcp.git

# Navigate to the project directory
cd pulse-cn-mcp

# Using npm
npm install
npm run build

# Or using Bun (faster)
bun install
bun run build

⚡ Quick Start

Start the MCP server with:

# Using npm
npm start

# Or using Bun
bun start

This launches the server using the Stdio transport, making it ready for MCP-compatible AI models to connect.

📖 Documentation

Architecture

Pulse CN MCP Server follows a modular architecture with individual tools for each data source:

src/
├── index.ts            # Main entry point and server setup
└── tools/              # Individual tool implementations
    ├── weiboHotspots.js
    ├── horoscope.js
    ├── dailyEnglishSentence.js
    ├── internetHotspotsAggregator.js
    ├── todayHeadlinesHotspots.js
    ├── paperNewsHotspots.js
    └── otherHotspots.js

Available Tools

Fully Implemented

Tool Name	Description	Endpoint
weibo-hotspots	Real-time trending topics from Weibo	/weibo-hotspots
horoscope	Daily horoscope by zodiac sign	/horoscope
daily-english-sentence	Daily motivational English quotes	/daily-english-sentence
internet-hotspots-aggregator	Aggregated trending topics	/internet-hotspots-aggregator
today-headlines-hotspots	Today’s Headlines trending topics	/today-headlines-hotspots
paper-news-hotspots	ThePaper.cn trending news	/paper-news-hotspots

Coming Soon

• hupu-pedestrian-street-hotspots
• zhihu-realtime-hotspots
• zhihu-daily-hotspots
• 36-krypton-24-hour-hotspots
• bilibili-daily-hotspots
• baidu-hotspots
• douyin-hotspots
• douban-group-hotspots
• huxiu-hotspots
• product-manager-hotspots
• in-information-hotspots
• insect-hotspots

Integration Example

Here’s how to integrate with the server using TypeScript:

import { McpClient } from "@modelcontextprotocol/sdk/client";

async function example() {
  const client = new McpClient();
  
  // Get Weibo trending topics
  const weiboHotspots = await client.callTool("weibo-hotspots", {});
  console.log(weiboHotspots.content);
  
  // Get daily horoscope for Aries
  const horoscope = await client.callTool("horoscope", { sign: "aries" });
  console.log(horoscope.content);
}

🛠️ Development

Adding a New Tool

1. Create a new file in src/tools/ (e.g., myNewTool.ts)
2. Implement your tool using the MCP Server SDK
3. Register the tool in src/index.ts

Example:

// src/tools/myNewTool.ts
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { z } from "zod";

export function registerMyNewTool(server: McpServer) {
  server.tool(
    "my-new-tool",
    "Description of my new tool",
    {
      // Tool parameters schema
      param1: z.string().describe("Parameter description")
    },
    async (params) => {
      // Tool implementation
      return {
        content: [
          { type: "text", text: "Result of my tool" }
        ]
      };
    }
  );
}

// src/index.ts - Add import and registration
import { registerMyNewTool } from './tools/myNewTool.js';
// ...
registerMyNewTool(server);

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the project
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgements

This project utilizes the free APIs provided by 韩小韩API. We express our sincere gratitude for their excellent service and support.

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