Enables AI-powered academic research by searching and retrieving research papers from OpenAlex database. Supports searching by keywords/topics and fetching full abstracts for detailed paper analysis.
An academic research server that provides LLMs with full-text search and retrieval access to academic papers and periodicals. It enables research-grounded responses through features like topic filtering and programmatic database expansion.
Enables academic research through the OpenAlex API, allowing users to search for papers, authors, and institutions, retrieve citations, and fetch full-text content when available. Perfect for building intelligent research assistants that can explore academic literature and related works.
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.
Unified academic paper search MCP server integrating OpenAlex, Semantic Scholar, CrossRef, and arXiv APIs, enabling Claude to search and analyze over 500 million scholarly papers.