Unified MCP server for scientific literature search and extraction, integrating databases like Scopus, OpenAlex, Semantic Scholar, and Unpaywall to enable AI agents to discover papers, track citations, and analyze content.
AI-powered academic paper search MCP server with relevance scoring, summarization, author search, and credit checking. Enables users to search papers naturally and get scored results.
A streamlined MCP server that connects AI assistants to arXiv's vast collection of academic papers, enabling search, retrieval, and analysis of research papers.
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.
This MCP server provides tools to search arXiv, score papers for relevance and citation impact, and find foundational references, enabling research assistants to compile reading lists.