Science Ai Mcp Server vs Research Hub

Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.

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🔬 Research
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Research Hub
WenyuChiou
🔬 Research
SummaryAcademic peer-review and research workflow tools from Science AI Journal: Pre-Check (paper-tier prediction), AI multi-agent peer review, Research Gaps Finder, Journal Recommender (1,214 venues with predatory-journal flags), Duplicate Publication Checker (CrossRef/arXiv/medRxiv/bioRxiv/Unpaywall/900k-paper library), and the Article Writer pipeline. Free local tools (FTS5, zero LLM cost); LLM tools use caller account credits.Research workspace MCP integrating Zotero, Obsidian, and NotebookLM. Search papers (arXiv/Semantic Scholar/PubMed/CrossRef), ingest into Zotero, sync notes to Obsidian, verify NotebookLM briefs. All three external tools optional. pip install research-hub-pipeline then research-hub serve.
Quality signal25/100 (Emerging)27/100 (Emerging)
Install pathuvx · lowpip · high
Engagement 2 0 0 1 0 0 41
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView Science Ai Mcp ServerView Research Hub
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