The AMiner academic search server based on the Model Context Protocol provides functions for paper keyword, journal, and author search, as well as an AI research assistant.

Claude Deep Research is a research server based on the MCP protocol. It provides comprehensive research capabilities for AI assistants like Claude, integrating web and academic search functions, and supporting multi - source information acquisition, content extraction, and structured analysis.

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.

Academic Hub is a revolutionary research platform that provides AI - assisted paper creation, sharing, and collaboration functions for researchers, including paper construction, plagiarism detection, and academic community interaction.

A powerful scholarly research tool that integrates the search functions of multiple academic databases such as PubMed, Google Scholar, ArXiv, and JSTOR, providing functions such as paper search, full - text reading, key information extraction, citation management, and research organization.

The Georgia Institute of Technology integrated MCP server provides a comprehensive interface for LLM to access the GT academic research ecosystem, integrating the functions of multiple systems such as course systems, research resources, and campus facilities. It newly adds ChatGPT HTTP API integration and fixes the 500 error of the OSCAR system.

The Academic Author Network Analysis MCP Server provides functions for querying researchers' co - authors and extracting research keywords. It integrates multiple data sources and supports asynchronous and efficient processing.

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.

ScholarScope MCP is an academic research MCP server built on FastMCP, providing functions such as paper, author, and institution search, citation relationship query, and full - text retrieval through the OpenAlex API, specifically designed for intelligent research assistants.

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.