Hacker News MCP Server

Hacker News MCP Server

An MCP server that enables AI assistants to access real-time Hacker News data including top stories, story details, comments, and search functionality.

Category
Visit Server

Tools

get_top_hackernews_stories

README

📰 Hacker News MCP Server

CI License: MIT <!-- Coming soon --> <!-- [npm version](https://www.npmjs.com/package/ -->

A Model Context Protocol (MCP) server that provides tools to fetch and interact with Hacker News content. This server enables AI assistants to access real-time Hacker News data including top stories, story details, comments, and search functionality.

🚀 Features

🛠️ Available Tools

  • get_top_stories - Fetch the latest top stories from Hacker News

    • Configurable count (1-100 stories)
    • Optional text content inclusion
    • Returns story metadata including title, URL, score, author, and comment count
  • get_story_details - Get detailed information about a specific story

    • Fetch complete story metadata
    • Optional comment inclusion with threaded structure
    • Optional markdown content extraction from linked articles
  • get_story_comments - Retrieve popular comments for a story

    • Configurable minimum score filtering
    • Adjustable comment thread depth (1-10 levels)
    • Limit number of comments returned (1-100)
    • Formatted as readable text with thread structure
  • search_stories - Search recent stories by keywords

    • Search through story titles, content, and URLs
    • Configurable time range (1-168 hours)
    • Limit results (1-50 stories)

📋 Prerequisites

  • Node.js 18+
  • npm or yarn
  • An MCP-compatible client (like Claude Desktop)

🔧 Installation

1. Clone the repository

git clone https://github.com/yourusername/hackernews-mcp.git
cd hackernews-mcp

2. Install dependencies

npm install

3. Build the server

npm run build

🎯 Usage

With Claude Desktop

Add the server to your Claude Desktop configuration:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "hackernews-mcp": {
      "command": "node",
      "args": ["/path/to/hackernews-mcp/build/index.js"]
    }
  }
}

With Other MCP Clients

The server communicates via stdio and can be used with any MCP-compatible client:

node build/index.js

🔍 Example Usage

Once connected, you can ask your AI assistant things like:

  • "What are the top stories on Hacker News today?"
  • "Get details about Hacker News story 12345678"
  • "Show me comments for that viral AI story"
  • "Search for recent stories about TypeScript"

🛠️ Development

Build the project

npm run build

Watch mode for development

npm run watch

Lint and format the code

npm run lint
npm run format

Run the MCP Inspector

For debugging and testing:

npm run inspector

This will start the MCP Inspector, providing a web interface to test the server's tools and inspect the communication.

📦 Code Quality & Contributing

  • Code Quality:
    This project enforces code quality and style using ESLint and Prettier. All code is checked in CI (GitHub Actions) and must pass linting and formatting before merging.
  • Type Safety:
    All tool handlers use explicit type guards for runtime argument validation and robust TypeScript types.
  • CI/CD:
    Every push and pull request runs the full build, lint, and (future) test suite via GitHub Actions.
  • How to Contribute:
    1. Fork the repository
    2. Create a feature branch (git checkout -b feature/amazing-feature)
    3. Commit your changes (git commit -m 'Add amazing feature')
    4. Run npm run lint and npm run format before pushing
    5. Push to the branch (git push origin feature/amazing-feature)
    6. Open a Pull Request

📚 API Reference

get_top_stories

{
  count?: number;        // Number of stories (1-100, default: 30)
  include_text?: boolean; // Include story text content (default: false)
}

get_story_details

{
  story_id: number;           // Required: HN story ID
  include_comments?: boolean; // Include comments (default: false)
  include_markdown?: boolean; // Extract article as markdown (default: false)
}

get_story_comments

{
  story_id: number;    // Required: HN story ID
  min_score?: number;  // Minimum comment score (default: 1)
  max_depth?: number;  // Max thread depth (1-10, default: 3)
  limit?: number;      // Max comments (1-100, default: 20)
}

search_stories

{
  query: string;              // Required: Search keywords
  limit?: number;             // Max results (1-50, default: 20)
  time_range_hours?: number;  // Hours to search back (1-168, default: 24)
}

🏗️ Architecture

The server is built with:

  • TypeScript for type safety and developer experience
  • @modelcontextprotocol/sdk for MCP protocol implementation
  • axios for HTTP requests to Hacker News API
  • jsdom and turndown for HTML to Markdown conversion
  • private-ip for security (blocks private IP access)

Key Components

  • src/index.ts - Main server implementation with tool handlers
  • src/fetcher.ts - Utility class for fetching and converting web content
  • build/ - Compiled JavaScript output (auto-generated)

🔒 Security

  • Blocks requests to private IP addresses to prevent local network access
  • Rate limiting through Hacker News API natural limits
  • Input validation for all tool parameters
  • Error handling and graceful degradation

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

📞 Support

If you encounter any issues or have questions:

  1. Check the Issues page
  2. Use the MCP Inspector for debugging: npm run inspector
  3. Create a new issue with detailed information about your problem

Made with ❤️ for the MCP community

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured