Prepares Hacker News discussions for summarization by language models like Claude.
HN Companion is a Model Context Protocol (MCP) designed to facilitate the summarization of Hacker News discussions using large language models. By fetching and processing HN comments, structuring them hierarchically, and scoring them based on community engagement, it provides an optimized data format for language models to generate high-quality summaries. The tool handles the nuances of comment threads and metadata, enabling a comprehensive understanding of the discussion's key points and sentiment.
Key Features
01Downloads and analyzes comment structure from HN
02Formats data optimized for Claude's summarization
03Processes Hacker News URLs or post IDs
04Scores comments based on community engagement
05Provides system and user prompts for summarization
Use Cases
01Automating the process of extracting key insights from Hacker News threads.
02Summarizing Hacker News discussions with Claude.
03Integrating Hacker News summarization into other applications.
