Enables LLM agents to search academic literature across multiple sources (IEEE, arXiv, ACM, Semantic Scholar, CORE, Scite, Consensus) and index/search local PDFs.
Enables agents to search papers across Semantic Scholar and arXiv, read and extract text from arXiv PDFs, align records across sources, and produce structured literature-analysis digests.
Enables AI agents to search academic papers, analyze citations and authors, track trending research, and find semantically related work using free scholarly sources.
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 scientific literature research through multi-agent search, analysis, and semantic memory, exposing 9 MCP tools for querying, storing, and retrieving research findings.
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.