Consensus is the go-to MCP for academic research. Connect directly to 220M+ peer-reviewed papers to search, synthesize, and build structured research outputs from within your conversation.
Run literature reviews, build boolean search strategies, generate bibliographies, identify research gaps, and draft cited content — grounded in studies from PubMed, Semantic Scholar, and ArXiv. Pre-built workflows handle complex tasks in minutes: systematic reviews, curriculum reading lists, grant research with novelty analysis, and clinical evidence synthesis.
Built for researchers, students, faculty, and clinicians across biomedical, social science, STEM, and all academic disciplines.
fetchRequired before citing a search result. Retrieves the full paper record for an id returned by search, including abstract, authors, journal metadata, citation count, DOI when available, and the canonical Consensus paper URL.
idstringsearchKeyword search over 200 million peer-reviewed academic papers. Returns JSON results with id, title, text, and url. You MUST call fetch(id) on any result before citing it. To request filters, include tokens in the query text: year:2020-2026, study:rct, study:meta-analysis, study:systematic-review, human:true.
querystringhumanbooleannullsample_size_minintegernullsjr_maxintegernullyear_maxintegernullyear_minintegernull