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MCP server for tech & AI intelligence โ€“ aggregates HackerNews, arXiv, Lobste.rs and GitHub. No API key required.

Project description

๐Ÿ‡จ๐Ÿ‡ญ Part of the Swiss Public Data MCP Portfolio

๐Ÿ“ก hn-tech-signal-mcp

Version License: MIT Python 3.11+ MCP No Auth Required

MCP server for global tech & AI signal intelligence โ€” aggregates HackerNews, arXiv, Lobste.rs and GitHub into a structured briefing. No API key required.

๐Ÿ‡ฉ๐Ÿ‡ช Deutsche Version


Overview

hn-tech-signal-mcp turns any AI assistant into a proactive tech intelligence analyst. The server aggregates four signal layers โ€” research frontier, developer discourse, curated signal, and open-source practice โ€” into a single, structured briefing.

No authentication required. All four data sources are public APIs. Optional: set GITHUB_TOKEN for higher GitHub rate limits (5,000 req/h vs. 60 req/h unauthenticated).

Anchor demo query: "Give me a tech signal digest on AI today โ€” what is happening in research, developer discourse and open source?"


Signal Architecture

FRONTIER    arXiv API      โ†’ Latest AI/ML papers (cs.AI, cs.LG, cs.CL, cs.CV)
DISCOURSE   HackerNews     โ†’ Top/best stories + Algolia full-text search
            Lobste.rs      โ†’ Curated, lower-noise tech signal
PRACTICE    GitHub Search  โ†’ What engineers are actually building right now

Think of the four layers as a radar: arXiv shows what's coming over the horizon, HN and Lobste.rs show what practitioners are discussing, and GitHub shows what teams are actually shipping.


Features

  • ๐Ÿ”ฌ Research frontier โ€“ Latest arXiv papers by category (cs.AI, cs.LG, cs.CL, and more)
  • ๐Ÿ” arXiv full-text search โ€“ Find papers by keyword, title, or author
  • ๐Ÿ—ฃ๏ธ HackerNews top/best/new โ€“ With optional AI-keyword filter
  • ๐Ÿ”Ž HackerNews search โ€“ Full history via Algolia, with date range filter
  • ๐Ÿ”ง Lobste.rs hottest โ€“ Curated developer signal, filterable by tag
  • ๐Ÿ› ๏ธ GitHub trending AI repos โ€“ Search by topic, stars, sort by activity or popularity
  • ๐Ÿ“‹ Tech signal digest โ€“ One-call cross-source briefing in Markdown
  • โ˜๏ธ Dual transport โ€“ stdio for Claude Desktop, Streamable HTTP for cloud deployment
# Tool Source Description
1 hn_top_stories HackerNews Top/best/new stories, with optional AI filter
2 hn_search HN Algolia Full-text search across all HN history
3 arxiv_latest arXiv Latest papers by category (cs.AI etc.)
4 arxiv_search arXiv Search papers by keyword/title/author
5 lobsters_hot Lobste.rs Curated tech stories, filterable by tag
6 github_trending_ai GitHub Trending AI repos by topic and stars
7 tech_signal_digest All sources Aggregated Markdown briefing

Prerequisites

  • Python 3.11+
  • uv or pip
  • No API key required
  • Optional: GITHUB_TOKEN for higher GitHub rate limits

Installation

# Recommended: uvx (no install step needed)
uvx hn-tech-signal-mcp

# Alternative: pip
pip install hn-tech-signal-mcp

Quickstart

# Start the server (stdio mode for Claude Desktop)
uvx hn-tech-signal-mcp

# With optional GitHub token for higher rate limits
GITHUB_TOKEN=ghp_yourtoken uvx hn-tech-signal-mcp

Try immediately in Claude Desktop:

"Give me a tech signal digest on AI today" "What are the latest cs.AI papers from the last 48 hours?" "What is HackerNews discussing about MCP this week?" "Show me trending GitHub repos for the topic 'ai-agents'"


Configuration

Environment Variables

Variable Default Description
GITHUB_TOKEN โ€“ Optional. GitHub personal access token. Without it: 60 req/h. With it: 5,000 req/h.
MCP_TRANSPORT stdio Transport: stdio or streamable_http
MCP_PORT 8000 Port for HTTP transport

Claude Desktop Configuration

{
  "mcpServers": {
    "hn-tech-signal": {
      "command": "uvx",
      "args": ["hn-tech-signal-mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_yourtoken_optional"
      }
    }
  }
}

Config file locations:

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

After restarting Claude Desktop, all 7 tools are available.

Cloud Deployment (Streamable HTTP)

For use via claude.ai in the browser (e.g. on managed workstations):

Render.com (recommended):

  1. Push/fork the repository to GitHub
  2. On render.com: New Web Service โ†’ connect GitHub repo
  3. Optionally set GITHUB_TOKEN in the Render dashboard
  4. In claude.ai under Settings โ†’ MCP Servers, add: https://your-app.onrender.com/mcp
# Docker / local HTTP mode
MCP_TRANSPORT=streamable_http MCP_PORT=8000 python -m hn_tech_signal_mcp.server

Architecture

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚  Claude / AI    โ”‚โ”€โ”€โ”€โ”€โ–ถโ”‚   HN Tech Signal MCP             โ”‚โ”€โ”€โ”€โ”€โ–ถโ”‚  HackerNews Firebase  โ”‚
โ”‚  (MCP Host)     โ”‚โ—€โ”€โ”€โ”€โ”€โ”‚   (MCP Server)                   โ”‚โ”€โ”€โ”€โ”€โ–ถโ”‚  HN Algolia Search    โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ”‚                                   โ”‚โ”€โ”€โ”€โ”€โ–ถโ”‚  arXiv.org (Atom API) โ”‚
                       โ”‚  7 Tools                          โ”‚โ”€โ”€โ”€โ”€โ–ถโ”‚  Lobste.rs JSON API   โ”‚
                       โ”‚  Stdio | Streamable HTTP          โ”‚โ”€โ”€โ”€โ”€โ–ถโ”‚  GitHub Search API    โ”‚
                       โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Project Structure

hn-tech-signal-mcp/
โ”œโ”€โ”€ src/
โ”‚   โ””โ”€โ”€ hn_tech_signal_mcp/
โ”‚       โ”œโ”€โ”€ __init__.py
โ”‚       โ””โ”€โ”€ server.py          # All 7 tools
โ”œโ”€โ”€ tests/
โ”‚   โ”œโ”€โ”€ __init__.py
โ”‚   โ””โ”€โ”€ test_server.py         # 21 unit + 5 live tests
โ”œโ”€โ”€ pyproject.toml
โ”œโ”€โ”€ CHANGELOG.md
โ”œโ”€โ”€ CONTRIBUTING.md
โ”œโ”€โ”€ LICENSE
โ”œโ”€โ”€ README.md                  # This file (English)
โ””โ”€โ”€ README.de.md               # German version

Testing

# Unit tests (no network required)
PYTHONPATH=src pytest tests/ -m "not live"

# Live integration tests (requires network)
PYTHONPATH=src pytest tests/ -m "live"

Example Use Cases

KI-Fachgruppe / AI Working Group

"Give me a tech signal digest on AI today"
โ†’ tech_signal_digest(focus="AI")

"What are the top 5 arXiv papers on LLM agents this week?"
โ†’ arxiv_search(query="LLM agents", category_filter="cs.AI", limit=5)

"What is HackerNews discussing about model context protocol?"
โ†’ hn_search(query="model context protocol", days_back=30)

Research Monitoring

"Show me the latest NLP papers from arXiv"
โ†’ arxiv_latest(category="cs.CL", limit=10)

"Search arXiv for papers on retrieval-augmented generation"
โ†’ arxiv_search(query="retrieval augmented generation RAG", limit=10)

Open Source Intelligence

"What AI agent frameworks are trending on GitHub?"
โ†’ github_trending_ai(topic="ai-agents", sort="updated", limit=10)

"Show me the most starred MCP-related repos"
โ†’ github_trending_ai(topic="mcp", sort="stars", min_stars=50)

arXiv Category Reference

Category Full Name Key Topics
cs.AI Artificial Intelligence Agents, planning, knowledge representation
cs.LG Machine Learning Training, optimisation, generalisation
cs.CL Computation & Language NLP, LLMs, translation, summarisation
cs.CV Computer Vision Image recognition, generation, multimodal
cs.RO Robotics Embodied AI, navigation
stat.ML Statistics ML Probabilistic methods, Bayesian ML

Rate Limits

Source Auth Required Limit
HackerNews Firebase No Very generous (Firebase)
HN Algolia Search No ~10,000 req/hour
arXiv No ~3 req/second (be respectful)
Lobste.rs No Reasonable use
GitHub Search No 60 req/hour
GitHub Search GITHUB_TOKEN 5,000 req/hour

Known Limitations

  • GitHub rate limit: 60 req/h without token. Set GITHUB_TOKEN for production use.
  • arXiv: Papers may take up to 24h to appear after submission. Weekends/holidays have delayed batches.
  • HackerNews: Top/best story lists update every few minutes. Very new stories may have low scores.
  • Lobste.rs: Smaller community than HN; tech-focused but may not cover all AI topics.
  • tech_signal_digest: Makes ~4 concurrent requests; if one source is slow it may delay the full response.

Synergies with Other MCP Servers

hn-tech-signal-mcp combines well with:

Combination Use Case
+ news-monitor-mcp Global research + Swiss institutional media coverage
+ fedlex-mcp Tech discourse + Swiss regulatory context
+ global-education-mcp AI research trends + education policy data
+ swiss-statistics-mcp Tech landscape + Swiss economic/structural data

Changelog

See CHANGELOG.md


License

MIT License โ€” see LICENSE


Author

Hayal Oezkan ยท malkreide


Credits & Related Projects

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