paperscraper-MCP-Server
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The paperscraper-MCP-Server is a Model Context Protocol (MCP) server designed to facilitate the scraping of publication metadata from various academic and research databases such as PubMed, arXiv, medRxiv, bioRxiv, and chemRxiv.
The paperscraper-MCP-Server is a specialized server application that leverages the Model Context Protocol to efficiently gather and manage metadata from a variety of scientific publication sources. This server is particularly useful for researchers, librarians, and data scientists who need to collect and organize large volumes of publication data for analysis or archiving. By interfacing with popular repositories like PubMed and arXiv, the server automates the process of data collection, ensuring that users have access to the most up-to-date information available. The server is designed to be robust and scalable, capable of handling large datasets and multiple requests simultaneously. It also provides a structured and standardized way to access and manipulate publication metadata, making it easier to integrate with other tools and systems.
Features
- Automated Metadata Collection: Seamlessly gathers publication metadata from multiple sources.
- Scalability: Handles large datasets and multiple requests efficiently.
- Standardized Access: Provides a structured way to access and manipulate data.
- Integration: Easily integrates with other tools and systems for enhanced functionality.
- Up-to-date Information: Ensures access to the latest publication data.