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.
This project is a Model Context Protocol (MCP) server that fetches articles from GeekNews. It is implemented in Python, and performs web scraping using BeautifulSoup.
A Model Context Protocol server that provides web scraping capabilities, enabling AI to extract and analyze web content through page structure analysis, schema-based extraction, and screenshot capture.
A Model Context Protocol server that allows LLMs to interact with web content through standardized tools, currently supporting web scraping functionality.
MCP server for fetching, parsing, and managing RSS feeds.
Features
Fetch and parse RSS/Atom feeds
In-memory caching with TTL
Batch fetching of multiple feeds
Monitor feeds for new items
Search content across multiple feeds
Extract and format feed content