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Pulse CN MCP Server

by wangtsiao

🔥 Pulse CN MCP Server

License: MIT TypeScript smithery badge PRs Welcome

A powerful Model Context Protocol (MCP) server providing real-time trending content from the Chinese internet.

FeaturesInstallationQuick StartDocumentationContributingLicense

🌟 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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security - not tested
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license - not found
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quality - not tested

A Model Context Protocol server that provides AI models with real-time trending content from 18 major Chinese internet platforms, including Weibo, Zhihu, and Bilibili.

  1. 🌟 Overview
    1. ✨ Features
      1. 🚀 Installation
        1. ⚡ Quick Start
          1. 📖 Documentation
            1. Architecture
            2. Available Tools
            3. Integration Example
          2. 🛠️ Development
            1. Adding a New Tool
          3. 🤝 Contributing
            1. 📄 License
              1. 🙏 Acknowledgements

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