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PubMed MCP

by BACH-AI-Tools
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Python
Remote

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    Related Servers

    • PubMed MCP Server

      openpharma-org
      A
      license
      B
      quality
      D
      maintenance
      Enables AI assistants to search and retrieve biomedical research articles from PubMed's database of over 35 million citations, including metadata, abstracts, MeSH terms, and full-text PDFs when available.
      1
      1
      MIT

    • PubMed MCP Server

      emi-dm
      F
      license
      A
      quality
      D
      maintenance
      Enables searching and retrieving detailed information from PubMed articles using the NCBI Entrez API. Supports configurable search parameters including title/abstract filtering and keyword expansion to find relevant scientific publications.
      1
      -

    • NCBI Literature Search MCP

      vitorpavinato
      F
      license
      Not graded
      quality
      D
      maintenance
      Provides seamless access to over 35 million PubMed scientific articles through natural language queries for research discovery and analysis. It enables tools for advanced searches, retrieving article details, and exploring related research within the life sciences and biomedical fields.
      13
      -

    • PubMed MCP Server

      aeghnnsw
      F
      license
      Not graded
      quality
      C
      maintenance
      Enables searching PubMed's biomedical literature database and retrieving article metadata, abstracts, and full content through the E-utilities API. Supports advanced queries, batch operations, and multiple output formats with automatic rate limiting.
      2
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.6/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of confusion between tools. The single tool is inherently distinct.

    Naming Consistency5/5

    There is only one tool, so naming consistency is not a concern. The name 'search_abstracts' follows a clear verb_noun pattern.

    Tool Count2/5

    A single tool for a comprehensive biomedical database like PubMed feels significantly under-scoped. Users would benefit from additional tools for specific operations (e.g., fetching full details, filtering by fields).

    Completeness2/5

    The server lacks tools for specialized queries, structured data retrieval, or pagination. While the single tool returns rich data, it does not cover common PubMed operations like fetching a specific article by ID or searching by author/journal.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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