Most trend servers cover a single source. This one covers seven and treats them as different: arXiv gets per-category round-robin so a small category still surfaces, FDA recalls get class filters, GitHub search gets a date floor. The briefing tool is what turns that into a habit rather than a query.
A single MCP server pulling trend data from seven sources — arXiv, PubMed, Hugging Face Daily Papers, GitHub trending and search, Hugging Face models and datasets, openFDA 510(k) clearances and openFDA recalls — and rendering newspaper-style briefings, with per-domain tuning configured once.
- Recent and searched arXiv papers, with per-category round-robin so small categories are not drowned by large ones
- PubMed search returning full abstracts
- Hugging Face Daily Papers sorted by community upvotes
- GitHub trending, and a search filtered by creation date
- Hugging Face models, datasets and spaces, trending or recent
- openFDA 510(k) device clearances, and recall events with class filtering
- Multi-source digests and briefings that call the sources in parallel
- Source text translated into your conversation language, with identifiers, URLs and metric values preserved verbatim
Python, and a one-time configuration run to set the categories and sources for your domain. No tokens required — all seven sources work anonymously, and a token only raises that source's rate limit ceiling.