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AI-native HackerNews MCP Server with EigenTrust expert ranking and explainable quality signals

4 starsPython

Readhn – AI-Native Hacker News MCP Server (Discover, Trust, Understand)

by xodn348·Mar 11, 2026·4 points·5 comments

AI Analysis

●●SolidBig BrainNiche Gem

EigenTrust propagation for HN expert ranking beats black-box relevance scores.

Strengths
  • 100% test coverage with 199 passing tests shows real craft
  • Five explicit ranking signals instead of opaque relevance scoring
  • Auto-configures six AI agents with single pip install command
Weaknesses
  • MCP servers for various platforms becoming commoditized quickly
  • HN-specific tools already exist (Hacker News API wrappers, RSS feeds)
Category
Target Audience

Developers using AI agents who want HN integration

Similar To

hn-algolia · MCP Registry servers · Cursor HN extensions

Post Description

I felt frustrated finding high-signal discussions on HN, and I started this project to better understand how this community actually works.

That led me to build readhn, an MCP server that helps with three things:

- Discover: find relevant stories/comments by keyword, score, and time window

- Trust: identify credible voices using EigenTrust-style propagation from seed experts

- Understand: show why each result is ranked, with explicit signals instead of a black-box score

It includes 6 tools: discover_stories, search, find_experts, expert_brief, story_brief, and thread_analysis.

I also added readhn setup so AI agents can auto-configure it (Claude Code, Codex, Cursor, and others) after pip install.

I’d love feedback on:

1) whether these ranking signals match how you evaluate HN quality,

2) trust-model tradeoffs,

3) what would make this useful in your daily workflow.

If this is useful to you, starring the repo helps others discover it: https://github.com/xodn348/readhn

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