An MCP server for searching arXiv academic papers, providing paper retrieval, metadata access, and result sorting and pagination functions.

AiryLark MCP is a professional - level translation service interface. It uses a three - phase process to ensure translation quality, supports multi - language translation and domain term recognition, and is suitable for professional scenarios such as technical documents and academic papers.

An MCP server for searching and downloading papers from multiple academic platforms (such as arXiv, PubMed, bioRxiv, etc.), supporting standardized search and acquisition tools, facilitating AI - driven research workflows.

Academia MCP is an MCP server designed for academic research. It provides tools for searching, retrieving, analyzing, and reporting scientific papers and datasets. It supports platforms such as ArXiv, ACL Anthology, and Hugging Face, and includes functions like web page crawling, LaTeX compilation, PDF reading, and LLM enhancement.

An advanced medical literature research tool based on the PubMed database, providing functions for searching, analyzing, and retrieving academic medical papers, including literature search, obtaining detailed metadata, generating citations, and researcher statistics.

An MCP service for academic paper search based on the OpenAlex API, providing functions to retrieve papers by topic, keyword, or author, and obtain detailed paper information.

Google Scholar MCP Server is an interface service that provides AI assistants with access to academic papers on Google Scholar through the Model Context Protocol (MCP). It supports keyword search, advanced retrieval, and author information query functions to help AI models retrieve academic paper metadata.

Paper Search MCP is an academic paper search and download server based on the MCP protocol, supporting the retrieval of papers from multiple platforms such as arXiv, PubMed, and bioRxiv, providing a standardized output format, and seamlessly integrating with large language models like Claude.

The Crossref MCP Server is a bridge service that connects AI assistants with the Crossref academic database through the Model Context Protocol (MCP), supporting the search for papers, acquisition of metadata, and information on journals and funding agencies by DOI, title, or keywords.

The arXiv Research Assistant MCP Server is a local server built based on Python and the FastMCP framework, specifically designed to interact with the arXiv.org paper database. It provides functions such as keyword search, getting the latest papers in categories, querying paper details, author search, trend analysis, etc., and supports generating paper summaries and comparison prompts, facilitating users to efficiently explore academic literature.

An MCP server that provides access to the Semantic Scholar academic graph API, supporting functions such as searching for academic papers, author information, obtaining citation analysis, and PDF downloads.

A microservice project based on FastMCP, providing search tools for Wikipedia and Arxiv academic papers, and supporting interaction with language models such as Claude through the MCP protocol.

The arXiv Research Assistant MCP Server is a local server built on Python and the FastMCP framework, specifically designed to interact with the arXiv.org paper database. It provides functions such as keyword search, getting the latest papers by category, querying paper details, retrieving author papers, and supports generating paper summaries and comparison prompts to help users efficiently explore academic literature.