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Comment threads on Hacker News contain some of the most insightful technical discussions on the internet. The MCP server makes it simple to access and explore these conversations through natural language requests to your AI assistant.
To access comments on a particular story, you'll need the story's ID. You can obtain this by first retrieving a story from feeds like top stories or new submissions. Once you have the ID, simply ask your assistant to fetch the comments for that specific item.
Comments are returned as structured data, including the comment text, author username, timestamp, score, and importantly, the parent-child relationships that form the conversation tree. This structure allows you to understand how discussions branch and evolve.
Hacker News comments are organized hierarchically, with replies nested under parent comments. The server preserves this tree structure, making it easy to follow conversation threads.
When you retrieve a comment, you'll receive information about its children (direct replies) and its parent (the comment it's responding to). This allows you to navigate both down into deeper discussions and up to understand the broader context.
To explore a thread deeply, you can request specific comments by their IDs. This is particularly useful when you want to examine a specific sub-discussion without retrieving the entire thread.
Each comment includes valuable metadata beyond just the text. You'll see the comment's score, which reflects community appreciation through upvotes. The timestamp tells you when the comment was posted, helping you understand the temporal flow of discussion.
The author's username is included, allowing you to identify frequent contributors or track specific users' perspectives across different threads. If a comment has been edited or deleted, this information is also available.
Use comment access to research technical topics by finding expert opinions in relevant threads. Track how the community responds to announcements by examining comment sentiment and concerns. Identify thought leaders by analyzing who contributes valuable insights across multiple discussions.
You can also monitor specific discussions over time by periodically retrieving updated comment data, allowing you to see how conversations evolve and whether consensus emerges on controversial topics.
Start with top-level comments to get a broad overview of community reaction, then drill down into specific branches that interest you. When researching a topic, examine multiple threads to get diverse perspectives. Pay attention to highly-scored comments, as these often contain the most valuable insights.
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