DeepRef
Connects large language models with scholarly APIs to retrieve and structure citations and abstracts for trustworthy research assistance.
About
DeepRef is an intelligent research copilot that functions as a Model Context Protocol (MCP) server, bridging the gap between large language models and scholarly databases. It empowers researchers, students, and academics to efficiently discover, retrieve, and cite relevant academic papers from authoritative sources like arXiv, Semantic Scholar, and PubMed. This tool provides real-time, contextual paper discovery, intelligently formats and structures citations with abstracts, and delivers clean, standardized paper metadata to enhance AI models with reliable, referenced information.
Key Features
- Seamless MCP Integration for connecting AI models with scholarly APIs
- Real-time Results for fast, contextual paper discovery
- Multi-Database Search across arXiv, Semantic Scholar, and PubMed
- 0 GitHub stars
- Intelligent Citation Retrieval with structured abstracts and metadata
- Structured Data delivery for clean, standardized paper metadata
Use Cases
- Automatically retrieving and structuring citations for research projects
- Accelerating academic paper discovery for researchers and students
- Enhancing Large Language Model (LLM) agents with trustworthy, referenced scholarly information
Sponsored