HackerNews
Integrates with the HackerNews API to enable AI assistants to access, analyze, and understand HackerNews content via standardized Model Context Protocol (MCP) interfaces.
About
This Model Context Protocol (MCP) server offers deep integration with the HackerNews API, empowering AI assistants and clients to seamlessly access, analyze, and understand a wealth of HackerNews content. It provides a standardized interface for interacting with data, allowing users to execute interactive commands for tasks such as searching posts, retrieving full story details including comments, analyzing user profiles, identifying trending topics, and delving into discussion patterns within comments. With a robust caching system and comprehensive API client features, it enhances performance and data richness for AI-driven insights into the HackerNews community.
Key Features
- Analyze user profiles to understand statistics, top stories, and contribution patterns.
- Retrieve comprehensive post details including metadata, comment trees, and engagement metrics.
- Search and filter HackerNews posts by keywords, author, score, and date range.
- Identify current trending topics through keyword frequency analysis from top stories.
- Analyze comment engagement, statistics, top commenters, and discussion patterns.
- 2 GitHub stars
Use Cases
- Perform trend and sentiment analysis to track current tech focus, identify emerging technologies, and monitor community sentiment.
- Gather community intelligence to identify quality contributors, find domain experts, and understand user contribution patterns.
- Conduct content research and analysis to find breaking tech stories, track controversial topics, and analyze discussion quality.