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A service for finding academic papers on arXiv and Google Scholar

View all MCP Servers

  • Why this server?

    This server acts as a bridge between AI assistants and ArXiv's research repository, enabling searching, downloading, and reading academic papers through the Message Control Protocol.

    ArXiv MCP Server

    leopeng1995
    -
    security
    A
    license
    -
    quality
    A bridge between AI assistants and ArXiv's research repository that enables searching, downloading, and reading academic papers through the Message Control Protocol.
    Last updated -
    Python
    MIT License
    • Linux
    • Apple

  • Why this server?

    This server enables AI assistants to search and access arXiv research papers through a simple Message Control Protocol interface, allowing for paper search, download, listing, and reading capabilities.

    ArXiv MCP Server

    huanongfish
    A
    security
    A
    license
    A
    quality
    Enables AI assistants to search and access arXiv research papers through a simple Message Control Protocol interface, allowing for paper search, download, listing, and reading capabilities.
    Last updated -
    4
    1
    Python
    Apache 2.0

  • Why this server?

    Enables AI assistants to search and access Google Scholar papers through a simple MCP interface.

    Google-Scholar-MCP-Server

    JackKuo666
    -
    security
    F
    license
    -
    quality
    🔍 Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.
    Last updated -
    2
    Python
    • Linux
    • Apple

  • Why this server?

    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.

    Academic Paper Search MCP Server

    afrise
    A
    security
    A
    license
    A
    quality
    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.
    Last updated -
    3
    11
    Python
    AGPL 3.0