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 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.
Retrieve detailed information about arXiv academic papers by providing a paper ID or URL to access title, abstract, authors, categories, and download links.
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.
Enables searching and downloading academic papers from 14 platforms including arXiv, PubMed, Google Scholar, Web of Science, Springer, and Sci-Hub with unified data format and intelligent rate limiting.