This Hacker News MCP server, developed by Manav Kundra, provides tools for fetching and parsing stories from news.ycombinator.com. Built with TypeScript using the Model Context Protocol SDK, it offers functionality to retrieve different types of stories (top, new, ask, show, jobs) with configurable limits. The server implements HTML parsing using Cheerio to extract structured data including titles, URLs, points, authors, timestamps, and comment counts. By abstracting Hacker News interactions into a standardized MCP interface, it enables AI systems to easily analyze and work with HN content. This implementation is particularly useful for applications involving tech news aggregation, trend analysis, and community engagement tracking, facilitating use cases such as personalized news feeds, startup research, and discussion topic generation.
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