hackernews

एक सरल MCP सर्वर जो Hacker News को आपके AI वर्कफ़्लो में लाता है। यह टॉप स्टोरीज़, टिप्पणियों के साथ व्यक्तिगत पोस्ट, और नवीनतम Ask HN / Show HN चर्चाओं को प्राप्त करने के लिए टूल का एक सेट प्रस्तुत करता है — सभी एक साफ, संरचित प्रारूप में जो एजेंटों के लिए आसान है।

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दस्तावेज़

Hacker News MCP Server

A minimal, no-friction toolset for accessing Hacker News data inside AI agents and applications. Designed for fast retrieval, predictable responses, and straightforward integration.

What You Get

  • Top stories from the Hacker News front page
  • Full story details with top comments
  • Latest Ask HN discussions
  • Latest Show HN launches

All responses are structured for direct use in LLM pipelines.

Available Tools

get_top_stories

Fetches the current top stories from Hacker News.

Returns:

  • Story ID
  • Title
  • URL
  • Score
  • Author

get_story

Fetches a specific story along with its top comments.

Input:

json{
  "id": "number"
}

Returns:

  • Story details (title, URL, score, author)
  • Top-level comments

get_ask_hn

Fetches the latest Ask HN posts.

Returns:

  • Post ID
  • Title
  • Author
  • Discussion context

get_show_hn

Fetches the latest Show HN posts.

Returns:

  • Project title
  • URL
  • Author
  • Summary context

How to Use

List available tools

GET /tools

Call a tool

POST /tools/<tool_name>

Example

Request:

json{
  "id": 123456
}

Endpoint:

POST /tools/get_story

Example Response

json{
  "title": "Example Story",
  "url": "https://example.com",
  "score": 120,
  "author": "username",
  "comments": [
    {
      "author": "user1",
      "text": "Interesting take on this..."
    }
  ]
}

Where This Fits

  • AI research assistants
  • Developer-focused agents
  • Trend analysis tools
  • Startup discovery workflows

Notes

  • Responses are optimized for readability and downstream processing
  • Best suited for developer and tech-focused use cases
  • Data reflects live Hacker News activity

Summary

A focused MCP toolset for plugging Hacker News directly into AI systems — clean, fast, and built for real usage.