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Comment threads on Hacker News contain some of the platform's most valuable content, often featuring in-depth technical discussions, expert insights, and diverse perspectives. With the Brave MCP server for Hacker News, you can access and explore these conversations directly through natural language requests.
To access comments on a specific story, you'll first need the story's unique identifier. You can obtain this by browsing stories through the server, then request the comments associated with that story ID. Simply ask your AI assistant something like "Show me the comments on story 12345678" or "What are people saying about this Hacker News post?"
The server retrieves the complete comment thread, presenting it in a structured format that preserves the hierarchical nature of the discussion. Each comment includes its text content, author information, timestamp, score, and its position within the conversation tree.
Hacker News comments are organized in nested threads, where replies appear as children of parent comments. This creates conversation branches that can go several levels deep. When you retrieve a comment thread, the server maintains this structure, allowing you to understand the flow of discussion.
You can explore specific branches by requesting individual comments by their ID, or you can view entire threads to get the full context of a conversation. This hierarchical navigation is particularly useful when tracking how a discussion evolved or when you want to focus on particularly active sub-threads.
Not all comments carry equal weight in the community. The server provides score information for each comment, helping you identify contributions that resonated with readers. You can ask your assistant to summarize highly-voted comments or focus on responses from specific users known for expertise in relevant areas.
When analyzing comment threads, consider looking at both recent activity and top-rated contributions. Recent comments show current perspectives and breaking information, while highly-scored comments often represent well-reasoned arguments or valuable technical insights that have stood up to community scrutiny.
For lengthy discussions, ask your assistant to summarize key points or identify main themes across the thread. You can also request comments from specific time periods to track how sentiment or understanding evolved as more information became available.
When researching technical topics, comment threads often contain code examples, links to additional resources, and detailed explanations that complement the original submission. Don't hesitate to explore these conversations deeply—they frequently offer more nuanced understanding than the submitted article alone.
The Brave integration lets you perform web searches using Brave Search directly from Claude, allowing you to retrieve up-to-date information, news, and web results without leaving your conversation.
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