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The Hacker News MCP Server makes it easy to access different story feeds from Hacker News. Whether you want to see what's currently trending, catch the latest submissions, or find stories with lasting value, the server provides simple methods to retrieve each type of feed. This guide walks you through accessing top, new, and best stories through your AI assistant.
Hacker News organizes stories into three main categories:
Top Stories are submissions that have gained significant upvotes and currently appear on the front page. These represent what the community finds most interesting right now and are ranked by a combination of votes, time, and engagement.
New Stories are the most recent submissions to Hacker News, displayed in chronological order. This feed gives you access to fresh content as soon as it's posted, before the community has voted it up or down.
Best Stories are submissions that have demonstrated lasting value based on Hacker News's ranking algorithm. These stories have proven engagement over time and represent consistently high-quality content.
To access any of these story feeds, simply ask your AI assistant in natural language. The server handles the technical details behind the scenes.
For top stories, request something like "Show me the current top stories on Hacker News" or "What are the trending posts on HN right now?" The server will return a list of stories currently on the front page with their titles, URLs, scores, and other relevant information.
For new stories, ask "What are the newest Hacker News submissions?" or "Show me recent posts on HN." This gives you access to the latest content, ideal for monitoring breaking news or emerging discussions in the tech community.
For best stories, try "What are the best stories on Hacker News?" or "Show me high-quality HN posts." This feed surfaces content that has performed well over time, perfect for discovering valuable articles you might have missed.
Each story returned includes structured information such as the title, submission URL, author username, score (upvotes), submission timestamp, and number of comments. You can use this data to identify trending topics, find articles worth reading, or track community interest in specific subjects.
Once you've retrieved stories, you can dig deeper by requesting comments on specific submissions or researching the users who posted them, creating a comprehensive view of discussions happening within the Hacker News community.
The Astro Docs integration lets you search and retrieve documentation content directly within your workflow, enabling you to quickly reference framework features, API details, and implementation examples without leaving your development environment.
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