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thinktraveller

UniArticles MCP Server

by thinktraveller
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Python
Remote

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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

    A3.6/5.0

    Scored across 29 tools

    Disambiguation4/5

    The tools are largely distinct by their target source (Scopus, PubMed, arXiv, etc.). However, there is some potential confusion between tools like 'core_work_search_by_query' and 'core_output_search_by_query' or 'pubmed_paper_search_by_query' vs 'europepmc_paper_search_by_query' if an agent doesn't read carefully, but descriptions clarify the differences.

    Naming Consistency4/5

    Most tool names follow a clear pattern of '<source>_<action>_<object>_by_<identifier>' (e.g., scopus_document_search_by_query, arxiv_paper_detail_by_id). Deviations exist like 'arxiv_latest_paper_list_by_category' and 'scopus_api_usage_status' which break the pattern slightly, but overall it is consistent and readable.

    Tool Count3/5

    With 29 tools, the count is on the high side but not extreme. The server aggregates multiple scholarly APIs (Scopus, arXiv, PubMed, Crossref, CORE, etc.), so many tools are needed. However, it feels slightly heavy and could be streamlined (e.g., combining some CORE output tools).

    Completeness4/5

    The domain is scholarly literature search and retrieval across multiple sources. Each source has at least a search and detail tool, covering core workflows. Minor gaps: no update or delete operations (not applicable for read-only APIs), but missing citation or full-text retrieval for some sources (e.g., no direct arXiv full-text download, no PubMed Central full-text retrieval beyond linkage).

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources