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The Hacker News MCP server allows you to retrieve specific items directly using their unique identifiers. Every story, comment, poll, and job posting on Hacker News has a numeric ID that serves as its permanent reference. This querying method is essential when you need to access particular content, follow up on previously viewed items, or deep-dive into specific discussions.
Hacker News assigns a unique numeric ID to every item on the platform. You'll typically encounter these IDs in several ways:
news.ycombinator.com/item?id=12345678
)These IDs are permanent and never change, making them reliable references for retrieving content even months or years after publication.
To retrieve a specific item, simply request it using its numeric identifier through your AI assistant. You can ask in natural language, such as:
The server interprets your request, fetches the item from Hacker News, and returns comprehensive details about that specific content.
When querying by ID, the server returns structured information tailored to the item type:
For stories, you'll receive the title, URL (if external), submission time, author, score, and the number of comments. This gives you a complete snapshot of the story's metadata and popularity.
For comments, the response includes the comment text, author, timestamp, and references to parent comments or the original story. This allows you to understand the context and follow conversation threads.
For other item types like polls or jobs, you'll receive the relevant fields specific to that content type.
Querying by ID is particularly useful when you want to:
Keep item IDs handy when conducting research, as they provide the fastest path to specific content. If you're analyzing multiple related items, consider maintaining a list of relevant IDs for easy reference. Remember that while IDs are permanent, the associated content (especially comment threads) may grow over time as discussions continue.
The Carbon Voice integration lets you access and manage your voice recordings, transcripts, and audio notes directly from your AI assistant. Use it to retrieve past recordings, search through transcripts, and organize your voice data without switching between applications.
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