Papers
Facilitates academic paper search and analysis through a Model Context Protocol server.
About
Papers is a Model Context Protocol (MCP) server designed to streamline academic paper search and analysis for researchers. It leverages open data sources like OpenAlex, Crossref, and arXiv to help users quickly find, analyze, and extract information from academic publications. The tool offers robust search capabilities with multi-source integration, advanced filtering, smart deduplication, and flexible sorting options, alongside comprehensive paper analysis features that support various URL types and extract rich metadata, including optional full-text content.
Key Features
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- Universal URL support for paper analysis (PDF, arXiv, DOI links)
- Multi-source paper search (OpenAlex, Crossref, arXiv)
- Smart deduplication of search results from different sources
- Advanced filtering for authors, affiliations, venues, and year ranges
- Intelligent extraction of title, authors, abstract, and full-text from papers
Use Cases
- Quickly finding relevant academic papers across multiple databases
- Analyzing paper metadata and content from various online sources
- Extracting specific information or full text from research articles programmatically