ai-news-mcp

Keeping up with AI trends is exhausting.

Claude doesn't know what happened after its training cutoff. Ask it "what's hot in AI right now?" and you get stale answers. Tell it to scrape the web for you and you wait forever.

We scrape 12 sources every 6 hours, Sonnet summarizes the content, then Opus curates the top 30 items for vibe coders and AI builders. Connect via MCP and Claude pulls fresh, curated data instantly.

Real-time AI/tech news aggregator MCP server for vibe coders & AI builders — runs on Supabase Edge Functions, free, no auth required.

Sources: HackerNews · Reddit (ClaudeAI/vibecoding/codex/claudecode/openclaw/artificial/ArtificialInteligence) · GitHub Trending · HuggingFace Spaces Trending · Lobsters · GeekNews

Cache updated every 6 hours. Curated by Opus every 6 hours.

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Quick Start — no install, no login

Claude Code CLI (one command)

claude mcp add --transport http ai-news https://iiwkkrvyhktnwolsfndx.supabase.co/functions/v1/mcp

Run this once. The tools are available in every Claude Code session from that point on.

Manual config — Claude Code (~/.claude.json)

{
  "mcpServers": {
    "ai-news": {
      "type": "http",
      "url": "https://iiwkkrvyhktnwolsfndx.supabase.co/functions/v1/mcp"
    }
  }
}

Manual config — Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "ai-news": {
      "type": "http",
      "url": "https://iiwkkrvyhktnwolsfndx.supabase.co/functions/v1/mcp"
    }
  }
}

Any MCP client (HTTP transport)

https://iiwkkrvyhktnwolsfndx.supabase.co/functions/v1/mcp

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What problem does this solve?

Problem	ai-news-mcp
Claude has no knowledge of recent AI news	12 sources scraped every 6h, always current
Asking Claude to scrape is slow	Pre-cached in DB, MCP call returns instantly
Raw news feeds are noisy	Opus curates top 30 every 6h — only actionable items for builders
Hard to know what the AI community is buzzing about	r/ClaudeAI, r/vibecoding, r/codex, GeekNews — real-time community signal
Reading repos and pages takes time	Sonnet WebFetches each URL and writes a 1-line summary

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How it works

Every 6 hours:
  1. Sonnet scrapes 12 sources → ~150 items
  2. Sonnet picks top 10 per source → WebFetches each URL → writes 1-line summary
  3. Opus curates top 30 from ~100 summarized items (judges by content, not score)
  4. Saves to news_curated table

When you call get_top_picks:
  → Returns Opus-curated items with summaries
  → Falls back to algorithmic selection if curation unavailable

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Tools

Tool	Description
get_top_picks	Top N Opus-curated items with content summaries. Pre-curated every 6h for vibe coders & AI builders.
get_trending_news	All cached news from 12 sources. Filter by source name (e.g. reddit_claudeai, reddit_vibecoding)
search_today	Keyword search across today's cached titles and summaries
get_new_since	Items added after a given ISO timestamp — useful for "what's new in the last hour?"
get_repo_quickstart	GitHub repo metadata (stars, language, topics) + install commands + quickstart from README
get_paper_brief	ArXiv paper title, authors, abstract, and code repo link if available
check_cache	Cache status: last updated, total items, per-source breakdown

Example calls

# Top 10 curated items right now
curl -s -X POST "https://iiwkkrvyhktnwolsfndx.supabase.co/functions/v1/mcp" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_top_picks","arguments":{"n":10}}}'

# Search for agent-related news
curl -s -X POST "https://iiwkkrvyhktnwolsfndx.supabase.co/functions/v1/mcp" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"search_today","arguments":{"query":"agent"}}}'

# r/vibecoding only
curl -s -X POST "https://iiwkkrvyhktnwolsfndx.supabase.co/functions/v1/mcp" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"get_trending_news","arguments":{"source":"reddit_vibecoding"}}}'

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Data Sources & Transparency

We only collect publicly available content — no auth, no private data, no personal information.

Source	URL	Method	Data collected
HackerNews	https://hacker-news.firebaseio.com/v0/topstories.json	Public JSON API	Title, URL, score
r/ClaudeAI	https://www.reddit.com/r/ClaudeAI/hot.json	Public Reddit API	Title, URL, score, selftext summary
r/vibecoding	https://www.reddit.com/r/vibecoding/hot.json	Public Reddit API	Title, URL, score, selftext summary
r/codex	https://www.reddit.com/r/codex/hot.json	Public Reddit API	Title, URL, score, selftext summary
r/claudecode	https://www.reddit.com/r/claudecode/hot.json	Public Reddit API	Title, URL, score, selftext summary
r/openclaw	https://www.reddit.com/r/openclaw/hot.json	Public Reddit API	Title, URL, score, selftext summary
r/artificial	https://www.reddit.com/r/artificial/hot.json	Public Reddit API	Title, URL, score, selftext summary
r/ArtificialInteligence	https://www.reddit.com/r/ArtificialInteligence/hot.json	Public Reddit API	Title, URL, score, selftext summary
GitHub Trending	https://github.com/trending	HTML scrape	Repo name, description, stars
HuggingFace Spaces Trending	https://huggingface.co/api/spaces?sort=trendingScore	Public JSON API	Space ID, trending score
Lobsters	https://lobste.rs/hottest.json	Public JSON API	Title, URL, score
GeekNews	https://news.hada.io	HTML scrape	Title, URL, score

What we store

• Cached snapshots of the above public data, refreshed every 6 hours
• Opus-curated top 30 items with content summaries in news_curated table
• Stored in Supabase, auto-deleted after 48 hours
• No user data, no personal information, no private content

What we don't do

• No paywalled or login-required content
• No full article bodies — title, URL, score, and summary only
• No selling or sharing of data

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Self-hosting

git clone https://github.com/treesoop/ai-news-mcp
cd ai-news-mcp

Deploy the Edge Function in supabase/functions/mcp/ to your own Supabase project. Use news_fetcher_prompt.md + news_curate_prompt.md as Claude Code cron jobs to populate the cache.