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Using PubMed to generate answers to research queries

  • Why this server?

    This server is specifically designed to search PubMed, a free online database for biomedical and life sciences literature, which aligns directly with the user's request.

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    Server to search PubMed (PubMed is a free, online database that allows users to search for biomedical and life sciences literature). I have created on a day MCP came out but was on vacation, I saw someone post similar server in your DB, but figured to post mine.
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    Python
    MIT License
    • Apple
  • Why this server?

    Provides a simplified interface to access PubMed articles via the Entrez API, making it easy to retrieve biomedical literature for generating answers.

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

    This server offers more advanced functionalities for searching PubMed, specifically designed around open access content and full-text link retrieval.

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    An MCP server implementation that enables searching and retrieving research articles from PubMed with specific focus on open access content filtering and full-text link retrieval.
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  • Why this server?

    This server can access multiple sources, including academic papers, which is useful for literature review.

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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?

    ClinicalTrials.gov complements PubMed, because it provides insights on clinical trials that might be relevant to biomedical questions.

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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?

    While BioMCP is focused on protein structure analysis, it has some overlap with PubMed in that it enables disease-related protein searches.

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    A Model Context Protocol server that enhances language models with protein structure analysis capabilities, enabling detailed active site analysis and disease-related protein searches through established protein databases.
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  • Why this server?

    This server provides access to research papers on Hugging Face, which can complement PubMed searches for AI applications.

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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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    Python
    MIT License
    • Apple
  • Why this server?

    medRxiv contains health sciences preprints, which complements the peer-reviewed literature on PubMed

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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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    • Linux
    • Apple