Search for and retrieve detailed information about a specific paper using its unique ID. Delivers results in JSON format, including an error message if the paper is not found.
Retrieve comprehensive details for a specific academic paper, including metadata and abstracts, by providing its unique identifier and preferred database source (Crossref or Semantic Scholar).
Retrieve detailed information about a specific paper by providing its arXiv ID using Hugging Face MCP Server. Streamline access to research data and metadata for efficient academic workflows.
Enables searching for academic papers and preprints across multiple platforms including Semantic Scholar, arXiv, PubMed, and CrossRef. It provides access to research records, DOI lookups, and journal metadata through a unified interface deployed on Cloudflare Workers.
An MCP server for searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, and Sci-Hub, designed for seamless integration with large language models like Claude Desktop.
Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools for research workflows and OpenAI Deep Research integration.