An MCP server that integrates InspireHEP high-energy physics literature with LLMs. Search papers, explore citations, retrieve author metrics, and generate formatted references.
A Python-based MCP server that enables searching for high-energy physics literature on INSPIRE-HEP by title, author, or full text. It provides optimized search results including citations, abstracts, and arXiv links while allowing filters for publication date and collaboration size.
MCP server providing tools for high-energy physics: literature search (INSPIRE-HEP, arXiv), data access (HEPData), and statistical analysis (pyhf likelihoods) for reinterpreting LHC searches.
A MCP server for academic literature retrieval, aggregating multiple data sources like arXiv, Crossref, OpenAlex, PubMed, and Semantic Scholar to provide search, details, citations, trends, and recommendations.
An MCP server for academic literature research that integrates Scopus, CrossRef, OpenAlex, and Unpaywall to search documents, get abstracts, author profiles, citing papers, and open-access PDF links.
Comprehensive MCP server for academic research workflows, enabling paper searching across multiple sources, manuscript processing with citation placeholders, search caching, and citation export.