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Semantic Scholar MCP Server

by fegizii
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Python
Remote

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    • semanticscholar-mcp

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    • mcp-semanticscholar

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    • semantic-scholar-mcp

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    • Semantic Scholar MCP Server

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      Enables searching academic papers, exploring citation graphs, and looking up authors from Semantic Scholar's database of 200M+ papers.
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    • Academic Search MCP

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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

    A3.7/5.0

    Scored across 11 tools

    Disambiguation5/5

    Every tool has a clearly distinct purpose with no ambiguity. Tools are organized around specific resources (papers, authors, citations) and actions (get, search, download), making it easy for an agent to select the right tool for each task without confusion.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with perfect uniformity. The naming convention uses clear action prefixes (get_, search_, download_) followed by specific resource identifiers, creating a predictable and readable structure throughout the toolset.

    Tool Count5/5

    With 11 tools, this server is well-scoped for academic research purposes. Each tool earns its place by covering distinct aspects of paper discovery, author information, citation analysis, and PDF access, providing comprehensive coverage without being overwhelming.

    Completeness5/5

    The toolset provides complete coverage for academic research workflows. It includes paper discovery (search_papers), detailed paper information (get_paper, get_paper_batch), citation analysis (get_paper_citations, get_paper_references, get_citation_context), author research (get_author, search_authors), and PDF access (get_paper_pdf_info, download_paper_pdf), with no obvious gaps in functionality.

    Resources