An MCP server for the INSPIRE-HEP API, enabling literature search, author lookups, DOI/arXiv/ORCID resolution, citation export, and bibliography generation with configurable detail levels.
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.
MCP server enabling AI agents to search and retrieve scientific papers, citations, and author profiles from Crossref, OpenAlex, and Semantic Scholar with no API keys required.
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.
An MCP server that enables searching arXiv, importing papers, enriching with citation data, generating summaries and research ideas, and querying a local library using local LLMs and embeddings.