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Neuro-Mechatronics-Interfaces

SemanticScholar_MCP

by Neuro-Mechatronics-Interfaces
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Python
Remote

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    • Semantic Scholar MCP Server

      kemaltanaka
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables searching and retrieving academic papers, author profiles, citation and reference networks, recommendations, and related metadata from the Semantic Scholar API through MCP tools.
      -

    • mcp-semanticscholar

      pipeworx-io
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to query the Semantic Scholar Academic Graph for scholarly paper data, supporting tools for search, retrieval, and analysis.
      10 npm
      MIT

    • Semantic Scholar MCP Server

      jorgebecker2607
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables access to academic paper data, author profiles, and citation networks through the Semantic Scholar API, supporting paper search, batch retrieval, citation/reference tracking, author lookup, and recommendations.
      -

    • Semantic Scholar MCP Server

      StephaneMoon6288
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables users to search and retrieve academic papers, inspect authors and their publications, explore citation networks and references, and obtain paper recommendations through the Semantic Scholar API.
      -
    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

    B3.4/5.0

    Scored across 10 tools

    Disambiguation4/5

    Tools are mostly distinct: get_authors/get_author differ by batch vs single ID, and search_papers vs search_papers_relevance are differentiated by bulk vs relevance-ranked semantics. The only slight confusion is the two search variants, but descriptions clarify their differing endpoints.

    Naming Consistency4/5

    Naming follows a consistent verb_noun pattern with get_ for retrieval and search_ for querying. search_papers_relevance is a minor deviation from the simple object naming, but it remains readable and predictable.

    Tool Count5/5

    10 tools is well-scoped for a scholarly search and retrieval API, covering authors, papers, citations, references, and author-paper relationships without unnecessary redundancy.

    Completeness5/5

    The surface covers the core academic search workflows: author lookup, single/batch paper retrieval, external ID support, bulk and relevance search, citations, references, and author-associated papers. For a read-only domain, no major gaps are apparent.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources