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Google Scholar MCP Server

by alimov-andrey
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Python
Remote

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    • ScholarScope MCP

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    • mcp-scholaris

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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

    A4/5.0

    Scored across 6 tools

    Disambiguation4/5

    Tools are mostly distinct with clear purposes. search_articles and search_open_access target different sources (Google Scholar vs. CORE), and ask_research_question synthesizes evidence, so overlap is minimal and well-explained.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., search_articles, get_citations), which is predictable and easy for agents to parse.

    Tool Count5/5

    6 tools cover the core functionalities of a Google Scholar MCP server (search, citations, versions, full text, Q&A) without being excessive or insufficient.

    Completeness4/5

    The set covers essential workflows like searching, retrieving citations, versions, and full text. Minor gaps exist (e.g., no author-specific search or journal filtering), but overall it's well-scoped.

    Maintenance

    ActivityInactive
    ResponsivenessSyncing

    Resources