Hn Companion Mcp
Summarizes discussions from Hacker News by fetching and processing comments, ensuring the hierarchical structure and associated metadata are maintained for effective summarization by Claude.
Author

georgeck
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Hacker News Companion MCP
A Model Context Protocol (MCP) for summarizing Hacker News discussions using Claude.
Overview
This MCP fetches and processes Hacker News discussions, preparing them in a format that Claude can use to generate high-quality summaries. It handles both the hierarchical structure of comments and their metadata (scores, downvotes, etc.) to help Claude understand the relative importance and relationships of different comments.
Features
- Process Hacker News URLs or post IDs
- Download and analyze comment structure from HN
- Score comments based on community engagement
- Format data optimized for Claude's summarization
Installation
Installing via Smithery
To install Hacker News Companion for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @georgeck/hn-companion-mcp --client claude
Manual Installation
Clone the repository:
git clone https://github.com/yourusername/hn-companion-mcp.git cd hn-companion-mcp
Install dependencies:
npm install
Usage
CLI
node index.js <post-id-or-url>
Example:
node index.js 43448075
# or
node index.js https://news.ycombinator.com/item?id=43448075
API Server
Start the server:
npm start
Make a request:
curl -X POST http://localhost:3000/api/summarize \
-H "Content-Type: application/json" \
-d '{"input": "https://news.ycombinator.com/item?id=43448075"}'
API Reference
POST /api/summarize
Request body:
{
"input": "https://news.ycombinator.com/item?id=43448075"
}
Response:
{
"status": "success",
"data": {
"systemPrompt": "...",
"userPrompt": "...",
"commentPathIdMapping": { ... },
"postTitle": "...",
"postId": "...",
"commentCount": 123
}
}
Integration with Claude
This MCP is designed to prepare data for Claude to summarize. When a user asks Claude to summarize a Hacker News discussion, Claude can call this MCP to get the formatted data and then generate a summary based on the provided system and user prompts.
"hn-companion": {
"command": "node",
"args": ["<full path to src>/hn-companion-mcp/server.js"]
}
}
License
MIT