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ArgusOnline01

AI News MCP

by ArgusOnline01
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Python
Hybrid

AI News MCP

Local MCP server and ingestion pipeline for AI, tech, business, and research signals. The V2 goal is to:

  • ingest recent items from newsletters, feeds, blogs, community streams, and research feeds

  • normalize them into a shared canonical schema

  • enrich them into editorial post candidates

  • support recency-first queries for "latest" workflows

  • expose MCP tools that let a media agent pull ideas on demand

Current V2 Sources

Enabled now:

  • TLDR AI

  • Superhuman AI

  • TheSequence

  • TechCrunch AI

  • Lenny's Newsletter

  • Hugging Face Blog

  • Hacker News AI query feed

  • LessWrong

  • arXiv cs.AI

  • arXiv cs.LG

Configured but currently second-wave / disabled:

  • The Neuron

  • Turing Post

  • The Batch

  • The Pragmatic Engineer

  • a16z AI

  • Benedict Evans

Quick start

Install dependencies:

py -3 -m pip install -e .

Refresh the source database:

py -3 scripts\refresh.py

See top stories:

py -3 scripts\demo_top_stories.py

Inspect canonical items:

py -3 -c "from pathlib import Path; from ai_news_mcp.service import AiNewsService; s=AiNewsService(Path('.')); print(s.get_canonical_items(10))"

Inspect a full cached article with clean text, markdown, and top images:

py -3 -c "from pathlib import Path; from ai_news_mcp.service import AiNewsService; s=AiNewsService(Path('.')); story=s.get_latest_items(limit=1)[0]; print(s.get_article(article_id=story['article_id'], include_images=True, include_markdown=True))"

Run the MCP server in the recommended ChatGPT-compatible mode:

py -3 scripts\run_server.py

Default runtime behavior:

  • transport: streamable-http

  • bind: 0.0.0.0:8081

  • ChatGPT app URL: https://<your-public-host>/mcp

Optional overrides:

$env:MCP_TRANSPORT = "sse"
$env:MCP_HOST = "0.0.0.0"
$env:MCP_PORT = "8081"
py -3 scripts\run_server.py

Notes:

  • For ChatGPT Apps / Developer Mode, prefer a public /mcp endpoint over Streamable HTTP.

  • Use /sse only for older SSE clients or debugging.

Notes

  • V2 prefers RSS/Atom feeds first, then source-specific HTML adapters where needed.

  • Storage is local SQLite in data\ai_news.db.

  • Facts are stored in canonical_items; editorial outputs are stored in post_candidates.

  • Rich article cache now stores full HTML, clean text, markdown, top-ranked images, content status, and extraction warnings in article_cache.

  • refresh.py currently rebuilds the source pool on each run so old source generations do not pollute newer results.

  • Query tools now support recency, topic, and category filters for latest-mode workflows.

  • MCP now exposes get_article(...) so downstream agents can retrieve the full scraped article body and reference images without doing a separate web fetch.