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A platform for finding academic research and scholarly articles

  • Why this server?

    This server provides real-time search and retrieval of academic paper information from multiple sources, including paper metadata and abstracts, fitting the 'google scholar' search.

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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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    Python
    AGPL 3.0
  • Why this server?

    This server facilitates the retrieval and access of arXiv research papers, similar to Google Scholar, enabling paper search, download, listing, and reading capabilities.

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    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.
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    Apache 2.0
  • Why this server?

    This server provides a bridge to the arXiv preprint repository, enabling AI models to search for papers and access their metadata, similar to Google Scholar.

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    The ArXiv MCP Server bridges the gap between AI models and academic research by providing a sophisticated interface to arXiv's extensive research repository. This server enables AI assistants to perform precise paper searches and access full paper content, enhancing their ability to engage with scientific literature.
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    Apache 2.0
    • Linux
    • Apple
  • Why this server?

    While this is a Qdrant vector search engine, it could be used to index and search research papers, which aligns with the user's interest in Google Scholar.

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    This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
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    448
    Python
    Apache 2.0
  • Why this server?

    This server fetches articles and books from the Zenn platform (a Japanese platform for engineers), which while not Google Scholar, can be a source of technical academic style content.

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    An unofficial Model Context Protocol server for Zenn that enables fetching articles and books from the Zenn platform through its API.
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    Python
    MIT License
  • Why this server?

    Provides comprehensive access to academic paper data, author information, and citation networks, similar to Google Scholar's function.

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

    Enables AI assistants to search and access medRxiv papers, similar to Google Scholar, focusing on health sciences preprints.

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    🔍 Enable AI assistants to search and access medRxiv papers through a simple MCP interface. The medRxiv MCP Server provides a bridge between AI assistants and medRxiv's preprint repository through the Model Context Protocol (MCP). It allows AI models to search for health sciences preprints and acce
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    • Apple
  • Why this server?

    Provides access to clinical trial data from ClinicalTrials.gov AACT database, which can be useful for academic research.

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    Provides access to the ClinicalTrials.gov AACT database, enabling analysis of clinical trial data, tracking development trends, and generating therapeutic landscape insights.
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    GPL 3.0
    • Apple
  • Why this server?

    Provides access to Marginalia Search, which indexes non-commercial and independent web content. While not explicitly academic, it can be helpful in research.

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    Provides access to Marginalia Search for discovering non-commercial and independent web content, returning unique sites with URLs, titles, and descriptions.
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    JavaScript
    MIT License
    • Apple