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KyleVick4

ryogena-pubmed-mcp

by KyleVick4
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Python
Remote

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    • PubMed MCP Server

      Augmented-Nature
      F
      license
      B
      quality
      D
      maintenance
      Provides comprehensive access to NCBI's PubMed database of over 36 million biomedical citations, allowing users to search, retrieve, and analyze literature directly through MCP tools. It supports advanced queries, citation management, full-text retrieval from PubMed Central, and precise discovery using MeSH terms.
      16
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    • PubMed MCP Server

      LLLeoLi
      A
      license
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      quality
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      Enables AI assistants to search, access, and analyze PubMed articles through MCP, providing tools for keyword and advanced search, article metadata retrieval, full-text PDF download, and deep paper analysis.
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    • 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
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    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

    A4.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: fetch_article gets full text for a PMID, find_related walks citation neighbors, search_by_author targets author queries, and search_pubmed does general search. No overlap in functionality.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with underscores: fetch_article, find_related, search_by_author, search_pubmed. Verbs are descriptive and nouns are specific.

    Tool Count5/5

    Four tools cover the core PubMed operations (search, fetch, related articles) without unnecessary duplication. The number is within the recommended 3-15 range and well-scoped for the purpose.

    Completeness4/5

    The tool set covers the main workflows: searching (general and by author), fetching full articles, and exploring related papers. Minor gaps exist, such as search by topic/MeSH or filtering by date, but agents can accomplish common tasks without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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