Automates literature review, research gap detection, and novelty evaluation for academic research, providing tools to search, summarize, find gaps, generate ideas, and evaluate novelty.
Enables searching and analyzing over 560,000 CS/AI/ML research papers with LLM-powered novelty scoring and summaries. Supports literature reviews, trend monitoring, benchmark tracking, and deep research sessions through 23 specialized tools.
Enables LLMs to search, analyze, and summarize academic research papers in real-time from arXiv, Semantic Scholar, and PubMed. Provides automatic deduplication, citation analysis, and BibTeX generation across multiple research databases.
Open scientific knowledge MCP for AI agents. Three profiles: search (15 tools incl. find_evidence, compare_papers, explore_topic), publish (5 tools for direct submission with AI-assisted review), govern (20 tools for proposals, voting, methodology shaping).
Enables users to search and analyze academic papers from multiple sources, fetch metadata and full text, and build structured outputs like literature maps and paper comparisons.
Enables to turn a research folder into a submission-ready academic paper, with stages for screening, venue selection, drafting, humanization, and final QA. Runs locally without uploading any data.