MCP Servers for DOI

DOI (Digital Object Identifier) is a persistent identifier system used to uniquely identify digital objects like academic articles, research papers, and other electronic documents, ensuring they remain accessible even if their web location changes.

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  • Why this server?

    Enables retrieval of publications via DOI identifiers, allowing access to academic papers and their bibliographic information through the DBLP database.

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    A Model Context Protocol server that provides access to the DBLP computer science bibliography database, allowing AI models to search publications, process citations, and generate accurate BibTeX entries.
    6
    1
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Supports retrieving paper details using DOI identifiers through the fetch_paper_details function

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    Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.
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    7
    Python
    AGPL 3.0
  • Why this server?

    Enables retrieval of publication URLs through DOI (Digital Object Identifier) to access articles that may not be directly available through PubMed

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    An MCP server that provides access to PubMed articles through the Entrez API.
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    19
    Python
    MIT License
    • Apple
  • Why this server?

    Supports DOI-based paper identification, allowing users to retrieve paper details using Digital Object Identifiers.

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    Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.
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    Python
  • Why this server?

    Supports source identification and management using DOI identifiers for academic publications

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    Server for managing academic literature with structured note-taking and organization, designed for seamless interaction with Claude. Built with SQLite for simplicity and portability.
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    Python