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Comment threads on Hacker News contain some of the most valuable discussions in the tech community. The Hacker News MCP Server makes accessing and navigating these conversations straightforward, allowing you to explore technical insights, expert opinions, and community perspectives without manual browsing.
To view comments on a specific story, you'll need the story's unique identifier. Once you have this ID, simply ask your AI assistant to retrieve the comments for that item. For example, you might say "Show me the comments for story 12345678" or "What are people saying about this article?"
The server will return the complete comment thread, including all replies and nested discussions. Each comment includes the author's username, the comment text, timestamp, score, and references to any parent or child comments in the thread.
Hacker News comments are organized in a tree structure, where replies appear as children of parent comments. This creates multi-level conversations that can branch in different directions as users respond to specific points.
When you retrieve a comment thread, the server preserves this hierarchical structure. You can explore specific branches of the conversation by requesting individual comments and their children. This is particularly useful when a thread contains hundreds of comments but you're only interested in particular discussion paths.
If you encounter a reference to a specific comment (perhaps shared via link or mentioned elsewhere), you can access it directly using its unique comment ID. The server treats comments as items, just like stories, so requesting a specific comment ID returns that comment's content along with information about its position in the broader thread.
Comments include author information, allowing you to identify who's contributing to discussions. You can then use this information to explore that user's profile, view their comment history, or track their contributions across multiple threads. This is valuable for identifying subject matter experts or following thought leaders in specific technical domains.
Popular stories often accumulate hundreds of comments. When working with extensive threads, you can request the top-level comments first, then selectively drill down into specific conversation branches that seem most relevant to your interests. This approach helps you efficiently navigate large discussions without being overwhelmed by information.
Each comment includes a timestamp showing when it was posted. This context helps you understand the progression of discussions and identify which perspectives emerged early versus later in the conversation, which can be important for understanding how community opinion evolved.
The QuickBooks integration lets you access and manage your financial data, including customers, invoices, expenses, and reports, directly through natural language commands.
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