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Comment threads on Hacker News often contain discussions as valuable as the original submissions. The MCP server provides straightforward access to these conversations, allowing you to explore community insights, technical debates, and expert perspectives without manually browsing the site.
To retrieve a specific comment, you'll need its unique identifier. Each comment on Hacker News has a numerical ID that you can use to fetch its content directly. Simply request the comment by ID through your AI assistant, and the server will return structured data including the comment text, author, timestamp, score, and references to parent and child comments.
This approach is particularly useful when you want to examine a specific piece of commentary or need to understand the context around a particular statement in a discussion.
Comments on Hacker News are organized hierarchically, with replies nested beneath parent comments to form conversation threads. When you access a comment, the server provides information about its relationships within the thread structure.
Each comment includes references to its parent (the comment it's replying to) and its children (direct replies to it). This allows you to navigate up the thread to understand context or down the thread to explore responses and counter-arguments. By following these references, you can reconstruct entire conversation branches and understand how discussions evolve.
To access all comments associated with a particular story, start by retrieving the story item itself. Story data includes a list of top-level comment IDs—these are the direct responses to the submission. From there, you can fetch each comment and recursively explore their children to build a complete picture of the discussion.
This approach gives you flexibility in how deeply you want to explore conversations. You might retrieve only top-level comments for a quick overview, or traverse the entire tree when conducting detailed analysis.
When working with large comment threads, consider that popular stories may have hundreds of comments organized in complex nested structures. Start with top-level comments to gauge the overall discussion before diving into specific branches that interest you.
Remember that comment scores reflect community agreement or disagreement, helping you identify particularly insightful or controversial contributions. Timestamps allow you to understand how discussions developed over time, which can be valuable for tracking how community sentiment evolved in response to new information.
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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