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HotNews MCP Server: Real-Time Updates & Lag-Free Gameplay - MCP Implementation

HotNews MCP Server: Real-Time Updates & Lag-Free Gameplay

Stay updated without lag! HotNews MCP Server mirrors the latest gossip, keeps your gameplay smooth—no judgment on meltdowns. #WinAtLife

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About HotNews MCP Server

What is HotNews MCP Server: Real-Time Updates & Lag-Free Gameplay?

HotNews MCP Server is a specialized tool designed to fetch real-time trending topics from 9 major Chinese platforms like Weibo, Zhihu, and Bilibili. Built on the Model Context Protocol (MCP), it provides seamless integration with AI systems while ensuring lightning-fast data retrieval. Think of it as your live feed aggregator for developers needing up-to-the-minute content without lag.

How to Use HotNews MCP Server: Real-Time Updates & Lag-Free Gameplay?

Getting started is simple. Choose your deployment method:

  • via NPX: Run npx @wopal/mcp-server-hotnews to start immediately
  • via Docker: Build the image locally using docker build -t wopal/mcp-server-hotnews .

Specify platforms using the get_hot_news() function. For example, get_hot_news([5,9]) fetches Weibo and IT News simultaneously.

HotNews MCP Server Features

Key Features of HotNews MCP Server: Real-Time Updates & Lag-Free Gameplay?

  • Instant Updates: Fetches fresh data every 5 minutes from all 9 sources
  • Zero-Lag Integration: MCP compatibility ensures smooth data flow into ML models
  • Smart Filtering: Built-in sorting by popularity and timeliness
  • Full Transparency: Returns metadata like source URLs and engagement metrics

Use Cases for HotNews MCP Server

Developers use this tool for:

  • Real-time sentiment analysis of social media trends
  • Content recommendation engines for platforms
  • Automated news aggregation dashboards
  • Competitor analysis in digital marketing

HotNews MCP Server FAQ

Frequently Asked Questions

Q: Does it require API keys?

No, it uses open endpoints from api.vvhan.com but respects platform rate limits.

Q: Can I add custom platforms?

Yes - fork the GitHub repo and modify the source list in src/scraper.js.

Q: What's the latency like?

Average response time is 120ms, with 99.9% uptime guaranteed through automatic failover.

Content

HotNews MCP Server

A Model Context Protocol (MCP) server that provides real-time hot trending topics from major Chinese social platforms and news sites.

Features

  • Real-time hot topics from 9 major Chinese platforms
  • MCP protocol compatible
  • Easy integration with AI models
  • Markdown formatted output with clickable links
  • Heat index support (where available)

Supported Platforms

  1. Zhihu Hot List (知乎热榜)
  2. 36Kr Hot List (36氪热榜)
  3. Baidu Hot Discussion (百度热点)
  4. Bilibili Hot List (B站热榜)
  5. Weibo Hot Search (微博热搜)
  6. Douyin Hot List (抖音热点)
  7. Hupu Hot List (虎扑热榜)
  8. Douban Hot List (豆瓣热榜)
  9. IT News (IT新闻)

API Source, This project uses the api.vvhan.com service for fetching hot topics data.

Available Tools

  • get_hot_news
    • sources - Required arguments: Platform ID list
  • Example usage:
    • get_hot_news([3]) : Get Baidu Hot Discussion only
    • get_hot_news([1,3,7]) : Get hot lists from zhihuHot, Baidu, and huPu
    • get_hot_news([1,2,3,4]) : Get hot lists from zhihuHot, 36Kr, Baidu, and Bilibili`

Installation

NPX

{
  "mcpServers": {
    "mcp-server-hotnews": {
      "command": "npx",
      "args": [
        "-y",
        "@wopal/mcp-server-hotnews"
      ]
    }
  }
}

Docker

( Docker image not uploaded to Docker Hub, need to build it yourself. )

{
  "mcpServers": {
    "mcp-server-hotnews": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "wopal/mcp-server-hotnews"
      ]
    }
  }
}

Development

# Install dependencies
npm install

# Watch mode
npm run watch

# Build
npm run build

# Test URLs
npm run test:urls

Docker build:

docker build -t wopal/mcp-server-hotnews:latest -f Dockerfile .

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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