A comprehensive Model Context Protocol server that provides AI assistants with direct access to Semantic Scholar's academic database, enabling advanced paper discovery, citation analysis, author research, and AI-powered recommendations.
Provides tools for accessing the Semantic Scholar API to search papers, retrieve paper and author details, and fetch citations and references through the Model Context Protocol.
Provides direct access to 200M+ academic papers from Semantic Scholar, enabling paper search with advanced filters, author discovery, citation analysis, and AI-powered paper recommendations through natural language.
Enables searching and accessing academic papers from 23+ sources (including arXiv, PubMed, Google Scholar) through the Model Context Protocol, with unified tools for search, download, and text extraction.
Provides real-time access to over 200 million scientific papers and full-text extraction from major academic sources including arXiv, OpenAlex, and PubMed Central. It enables users to search, fetch metadata, and analyze citations across multiple research disciplines through a unified Model Context Protocol interface.
