Consensus MCP Server

Consensus enables AI assistants to search through 200+ million peer-reviewed research papers from leading academic databases including Semantic Scholar, PubMed, and ArXiv. Users can find relevant scientific studies with advanced filtering by publication year, journal quality, sample size, and human subject studies. Each result includes comprehensive metadata: titles, abstracts, authors, citation counts, and direct links to papers. Perfect for researchers, students, healthcare professionals, and anyone seeking evidence-based answers backed by scientific literature.