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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.
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.
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.
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.
Why this server?
Extracts and transforms webpage content into clean, LLM-optimized Markdown, making it easier to get structured information from news articles.
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.
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.
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.
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.
Why this server?
Analyzes Google Scholar papers, which can provide insights into academic and research-related headlines.