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A server for retrieving media headlines

  • Why this server?

    Provides AI models with real-time trending content from 18 major Chinese internet platforms, including Weibo, Zhihu, and Bilibili, which can be considered as media outlets.

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    security
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    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.
    TypeScript
  • Why this server?

    A Model Context Protocol server that enables large language models to access the latest trending news headlines and detailed content across various categories including recommended, domestic, technology, and sports news.

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    A Model Context Protocol server that enables large language models to access the latest trending news headlines and detailed content across various categories including recommended, domestic, technology, and sports news.
    Python
    • Apple
  • Why this server?

    An MCP server that fetches RSS feeds and shares them with LLMs, allowing AI assistants to access and present the latest news and articles from configured feeds.

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    An MCP server that fetches RSS feeds and shares them with LLMs, allowing AI assistants to access and present the latest news and articles from configured feeds.
    1
    TypeScript
  • Why this server?

    An MCP server that provides real-time cryptocurrency news sourced from NewsData for AI agents. Could be adapted to broader media context.

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    An MCP server that provides real-time cryptocurrency news sourced from NewsData for AI agents.
    Python
    MIT License
  • Why this server?

    Extracts and transforms webpage content into clean, LLM-optimized Markdown, making it easier to get structured information from news articles.

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    Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.
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    11
    MIT License
  • Why this server?

    An MCP server that retrieves web page content using Playwright headless browser, capable of extracting main content and converting to Markdown format, useful for gathering news content.

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    An MCP server that retrieves web page content using Playwright headless browser, capable of extracting main content and converting to Markdown format.
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    555
    TypeScript
    MIT License
    • Apple
  • Why this server?

    A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way, including media headlines.

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    A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
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    1,858
    510
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Provides a robust interface for searching TikTok videos by hashtags and retrieving trending content, which may be relevant as user generated media headlines, with anti-detection measures and comprehensive metadata extraction.

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    Provides a robust interface for searching TikTok videos by hashtags and retrieving trending content, with anti-detection measures and comprehensive metadata extraction.
    2
    Python
    MIT License
  • Why this server?

    An MCP server that fetches RSS feeds and shares them with LLMs, allowing AI assistants to access and present the latest news and articles from configured feeds.

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    security
    F
    license
    -
    quality
    An MCP server that fetches RSS feeds and shares them with LLMs, allowing AI assistants to access and present the latest news and articles from configured feeds.
    1
    TypeScript
  • Why this server?

    Analyzes Google Scholar papers, which can provide insights into academic and research-related headlines.

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    quality
    "mcp\_scholar" is a Python-based tool for searching and analyzing Google Scholar papers, supporting features like keyword-based searches and integration with MCP clients and Cherry Studio. It provides functionalities such as fetching top-cited papers from scholar profiles and summarizing research top
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    Python