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Hacker News discussions often contain insights that rival or exceed the value of the original submissions. The Hacker News MCP Server makes it straightforward to access and explore these comment threads through simple conversational requests to your AI assistant.
To read comments on any Hacker News story, you can ask your assistant to retrieve the comment thread for a specific story. You'll need either the story's unique identifier or you can first find stories by topic and then access their comments. For example, you might ask "Show me the comments on the top story about artificial intelligence" or "Get the discussion thread for item 12345678."
The server returns comment data in a structured format, including the comment text, author information, timestamp, and voting score. This makes it easy to quickly scan discussions and identify valuable contributions.
Hacker News comments are organized hierarchically, with replies nested under parent comments to form conversation threads. When you retrieve a comment thread, the server preserves this tree structure, allowing you to understand the flow of discussion.
You can explore threads depth-first by following specific conversation branches that interest you, or request all comments to get the complete picture. Ask your assistant to "show me the replies to this comment" or "what are the top-level comments on this story" to navigate the structure in ways that match your research needs.
Not all comments carry equal weight. You can ask your assistant to help identify the most valuable contributions by requesting highly-scored comments or comments from specific users known for expertise in particular domains. Questions like "What are the highest-rated comments on this thread?" or "Did any domain experts comment on this story?" help surface the most insightful content.
Since the server provides real-time access to Hacker News data, you can monitor active discussions as they develop. Check back on controversial or popular threads to see how conversations evolve, identify new perspectives that emerge over time, or catch late-arriving expert commentary that often appears hours after initial submission.
Comment threads are invaluable for understanding community sentiment about new technologies, gathering technical feedback on products or approaches, and discovering nuanced perspectives that aren't captured in the original article. By making these discussions easily accessible, the server helps you tap into the collective knowledge of the Hacker News community efficiently.
The Apify integration lets you run web scraping and automation actors directly from Claude, enabling you to extract data from websites, automate browser tasks, and access datasets without leaving your conversation.
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