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A search for academic or research papers

  • Why this server?

    Provides read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections through natural language, directly addressing the 'paper search' query.

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    A Model Context Protocol server that provides Claude and other LLMs with read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections through natural language.
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    MIT License
    • Apple
  • Why this server?

    Enables real-time search and retrieval of academic paper information from multiple sources, including metadata, abstracts, and full-text content, making it directly relevant to the paper search request.

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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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    AGPL 3.0
  • Why this server?

    A specialized version specifically tailored for searching the bioRxiv preprint repository, making it ideal for finding biology papers.

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

    Similar to bioRxiv, but focusing on health sciences preprints, offering a direct route to finding relevant medical research papers.

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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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  • Why this server?

    Provides a direct interface for searching and retrieving papers from arXiv, a key resource for scientific and mathematical research.

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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
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    • Apple
  • Why this server?

    An alternative ArXiv MCP server, for redundancy and possible differences in functionality.

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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?

    It is a good fit as it provides structured content from a research setting but a different content from the other recommendations.

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    An MCP server that provides powerful search capabilities for Jewish texts and literature. This server enables Large Language Models to search and reference Jewish texts through a standardized interface.
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    MIT License
  • Why this server?

    Enables large language models to search and access IETF RFC documents through natural language, beneficial for technical paper discovery.

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    A Model Context Protocol server that enables Large Language Models to search and access IETF RFC documents with pagination support.
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    Python
    MIT License