Academic
Provides AI assistants with a unified interface to access multiple academic databases for search, metadata retrieval, and comprehensive research analysis.
About
Academic is a powerful Model Context Protocol (MCP) server that centralizes access to a wide array of academic databases, including PubMed, bioRxiv, medRxiv, arXiv, Semantic Scholar, and Sci-Hub. It offers a dual-server design: one for core search, metadata retrieval, and PDF downloads, and another for advanced research workflows. This tool streamlines the research process for both human users and AI assistants by enabling unified search, advanced filtering, deep paper analysis, citation network evaluation, local PDF processing, and automated research workflows, all through a consistent and standardized output format.
Key Features
- Support for comprehensive analysis of local and online PDF files, including figure extraction and text content.
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- Deep paper analysis, including citation network analysis, paper impact evaluation, and related paper recommendations.
- Unified search and retrieval across 6 major academic databases (PubMed, bioRxiv, medRxiv, arXiv, Semantic Scholar, Sci-Hub).
- Complete research workflow automation, from paper retrieval to analysis, reading, and summarization.
- Advanced search filtering, detailed metadata access, and PDF download capabilities.
Use Cases
- Researchers streamlining literature reviews, finding papers, downloading open-access content, and generating summaries.
- Automating multi-step research processes like retrieving, analyzing, and summarizing papers from various sources.
- AI assistants accessing comprehensive academic knowledge, providing up-to-date research, and managing citations.
