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Understanding Hacker News Data Structure and Fields

Data Structure Overview

When you query the Hacker News MCP server, you'll receive structured data containing specific fields that describe stories, comments, and users. Understanding these fields helps you interpret the information and make effective queries through your AI assistant.

Story Fields

Stories are the primary content type on Hacker News, representing submitted links or text posts. Each story contains several key fields:

ID: A unique numeric identifier for the story. Use this to reference specific stories or retrieve their comments.

Title: The headline of the submission, describing what the story is about.

URL: The web address the story links to. Text posts (Ask HN, Show HN) may not have external URLs.

Score: The number of upvotes the story has received, indicating community interest and approval.

By: The username of the person who submitted the story.

Time: A Unix timestamp showing when the story was submitted.

Descendants: The total number of comments in the discussion thread.

Kids: An array of comment IDs that are direct replies to the story. Use these to navigate the comment tree.

Comment Fields

Comments represent community discussion and replies. Each comment includes:

ID: A unique identifier for the comment.

Parent: The ID of the item (story or comment) this comment replies to.

Text: The comment content in HTML format.

By: The username of the comment author.

Time: When the comment was posted.

Kids: IDs of direct replies to this comment, allowing you to traverse nested discussions.

User Fields

User profiles provide information about community members:

ID: The username of the account.

Created: Unix timestamp of account creation.

Karma: Total points accumulated from upvotes on the user's submissions and comments.

About: Optional biographical information in HTML format.

Submitted: An array of IDs representing all stories and comments the user has posted.

Practical Applications

Understanding these fields enables powerful queries. You can ask for stories above a certain score threshold, find all comments by a specific user, or trace conversation threads by following the parent-child relationships in comment trees. The timestamp fields let you filter by recency, while the descendants count helps identify active discussions worth exploring.

When working with the server, simply describe what you want in natural language—your AI assistant uses these underlying fields to retrieve and present the exact information you need.

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