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Comment threads on Hacker News contain some of the platform's most valuable content—technical insights, expert opinions, and thoughtful discussions that often surpass the original submissions in value. Through this MCP server, you can access and navigate these comment threads programmatically, making it easy to extract insights and track conversations.
To access comments on a specific story, you'll need the story's unique identifier (item ID). Once you have this ID, you can request the full comment thread associated with that submission. The server returns structured data that includes each comment's text, author, timestamp, score, and relationships to other comments in the thread.
Simply ask your AI assistant to show you the comments for a particular story. For example, you might request "Show me the comments on the top story about AI" or "Get comments for Hacker News item 12345678." The server handles the API interaction and presents the discussion in an accessible format.
Hacker News comments are organized in a tree structure, where replies create nested conversations. Each comment can have multiple children (replies), and those replies can have their own replies, creating deep discussion threads.
The server preserves this hierarchical structure, allowing you to understand conversation flow and see how discussions branch into different subtopics. You can traverse the tree to follow specific conversation paths, identify the most active discussion branches, or focus on top-level comments for a broader overview.
Beyond full thread retrieval, you can also access individual comments directly using their unique identifiers. This is useful when you want to reference a specific comment, check for updates to a particular discussion, or analyze comment metadata without retrieving the entire thread.
Individual comment data includes the comment text, author information, submission time, current score, and references to parent and child comments, giving you complete context even when viewing a single comment in isolation.
Comment thread access enables several powerful use cases. You can monitor discussions about your product or technology to gather unfiltered feedback. Track how experts in specific domains respond to new developments. Identify valuable technical explanations that solve problems you're researching. Or analyze community sentiment on controversial topics by examining discussion patterns and voting behavior.
The structured nature of the data makes it straightforward to filter comments by criteria like score thresholds, specific authors, or time windows, helping you focus on the most relevant parts of lengthy discussions.
The Sentry integration lets you monitor and debug application errors directly from your development environment, enabling you to query issues, view stack traces, and manage error reports without leaving your workflow.
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