Search academic papers, generate literature reviews, and map citation networks — all through the Model Context Protocol.
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality…
From discovery to synthesis, ScholarSync covers the complete research workflow.
Query Semantic Scholar and arXiv simultaneously. Filter by year, venue, author, and citation count to find exactly what you need.
Get a structured summary of any paper: key findings, methodology, contributions, limitations, and future directions.
Generate a mini literature review on any topic. Synthesize key themes, identify gaps, and surface landmark papers automatically.
Map the citation network for any paper. Trace intellectual lineage forwards and backwards to understand research influence.
Pull out methodology details: datasets used, experimental setup, evaluation metrics, statistical tests, and reproducibility notes.
ScholarSync follows the natural rhythm of academic inquiry.
Discover relevant papers across Semantic Scholar and arXiv with natural language queries.
Summarize papers, extract methods, and map citation networks to build deep understanding.
Generate literature reviews that weave findings into a coherent narrative with proper citations.
Whether you are writing a thesis or leading a lab, ScholarSync accelerates your work.
Navigate vast literature and build comprehensive related-work sections faster.
Stay current in your field and quickly evaluate new papers during peer review.
Coordinate literature discovery across a team and avoid duplicated effort.
Automate the search-and-screen workflow for systematic and scoping reviews.
Add ScholarSync to any MCP-compatible client in seconds.
Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client. No API keys required to get started.
Stop drowning in papers. Let ScholarSync surface what matters.