Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Hacker News Reader MCP Server get the hacker news discussion for item 46130187"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A Model Context Protocol (MCP) server that fetches Hacker News discussions and article content. Optimized for LLM consumption with compact, token-efficient formatting.
✅ Fetch complete Hacker News discussion threads
✅ Scrape linked article content in markdown format
✅ LLM-optimized output (compact nested replies)
✅ Accepts both HN URLs and item IDs
✅ Handles edge cases (text posts, Ask HN, deleted comments)
✅ Powered by Firecrawl for robust article extraction
Related MCP server: HackerNews MCP Server
uvx --from git+https://github.com/Malayke/hackernews-mcp.git hackernews-mcpuv pip install git+https://github.com/Malayke/hackernews-mcp.gitpip install git+https://github.com/Malayke/hackernews-mcp.gitAdd to your MCP settings configuration (e.g., in Claude Desktop or other MCP clients):
{
"mcpServers": {
"hackernews-mcp": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/Malayke/hackernews-mcp.git",
"hackernews-mcp"
],
"env": {
"FIRECRAWL_API_KEY": "your_api_key_here"
}
}
}
}Or if you've installed it with pip/uv pip:
{
"mcpServers": {
"hackernews-mcp": {
"command": "hackernews-mcp",
"env": {
"FIRECRAWL_API_KEY": "your_api_key_here"
}
}
}
}Required:
FIRECRAWL_API_KEY - Your Firecrawl API key
Create a .env file:
FIRECRAWL_API_KEY=your_api_key_hereget_hn_contentFetches Hacker News comments and the linked article content.
Input:
hn_url: HN URL or item ID
Full URL: https://news.ycombinator.com/item?id=46130187
Just ID: 46130187
Output: Combined markdown with:
Article Content - Scraped article in markdown format
HN Discussion - Formatted comment threads with metadata
Example:
{
"hn_url": "https://news.ycombinator.com/item?id=46130187"
}The tool returns LLM-optimized content:
# ARTICLE CONTENT
[Article markdown content here...]
---
# HACKER NEWS DISCUSSION
STORY: Article Title
URL: https://example.com/article
AUTHOR: username | POINTS: 123 | TIME: 2 hours ago
TOTAL_COMMENTS: 45
COMMENT #1
COMMENT [author @ time] ID: 123456
Comment text here...
REPLY [author2 @ time] ID: 123457
Reply text here...
REPLY [author3 @ time] ID: 123458
Nested reply text...
COMMENT #2
...# Clone the repository
git clone https://github.com/Malayke/hackernews-mcp.git
cd hackernews-mcp
# Install dependencies with uv
uv sync
# Set up environment
echo "FIRECRAWL_API_KEY=your_api_key_here" > .env
# Run the server
uv run server.py# Test the MCP server
uv run python test_mcp_server.pyFor local development with live changes:
{
"mcpServers": {
"hackernews-mcp": {
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/hackernews-mcp",
"python",
"server.py"
],
"env": {
"FIRECRAWL_API_KEY": "your_api_key_here"
}
}
}
}Python 3.11+
Firecrawl API key (for article scraping)
mcp - Model Context Protocol SDK
requests - HTTP requests
beautifulsoup4 - HTML parsing
firecrawl-py - Article content extraction
python-dotenv - Environment variable management
MIT License - see LICENSE file for details.
Contributions are welcome! Please feel free to submit a Pull Request.
For issues, questions, or contributions, please visit the GitHub repository.
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Converts any URL to clean, LLM-ready Markdown using real Chrome browsers
Fetch any URL and get clean Markdown. Web scraping for AI agents.
Web scraping for AI agents. Converts URLs to clean, LLM-ready Markdown with anti-bot bypass.
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