Research

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Designed to bridge the gap between AI assistants and academic databases, this server provides a robust, standardized interface for querying research papers. It supports comprehensive searches with text queries, date range filtering, and pagination, ensuring AI tools like Claude or GPT can efficiently access detailed paper metadata including authors and abstracts. Built on FastAPI and adhering to the Model Context Protocol (MCP), it offers a scalable and AI-ready solution for automated research and literature review.

Características Principales

• Support for pagination of large result sets
• Filter papers by date range and sort results
• Provides detailed paper metadata
• MCP-compatible interface for AI integration
• 0 GitHub stars
• Search research papers with text queries

Casos de Uso

• Building AI assistants capable of advanced literature reviews
• Providing structured access to research papers for AI-driven applications
• Integrating large language models (LLMs) with academic databases for automated research