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research-mcp

by niol-zh

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      Unified MCP server for scientific literature search and extraction, integrating databases like Scopus, OpenAlex, Semantic Scholar, and Unpaywall to enable AI agents to discover papers, track citations, and analyze content.
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    TDQS

    A4.1/5.0

    Scored across 9 tools

    Disambiguation4/5

    Purposes are largely distinct: search vs. citation graph (backward/forward) vs. author vs. journal metrics vs. PDF lookup are cleanly separated, and get_references vs. get_citing_papers are explicitly contrasted. The only mild overlap is that both assess_relevance and get_abstract_details return abstract text, which could confuse an agent wanting just an abstract.

    Naming Consistency5/5

    Consistent snake_case verb_noun pattern throughout (get_abstract_details, get_author_profile, get_journal_metrics, get_citing_papers, etc.). The two non-'get' verbs (search_scopus, assess_relevance) still follow the same verb_noun convention and read naturally.

    Tool Count5/5

    Nine tools is well-scoped for a literature-research workflow, with no redundant or trivial entries. Each tool (search, metadata, citations, author, journal metrics, PDF, relevance, quota) earns its place.

    Completeness4/5

    Covers the core research-discovery lifecycle: search, metadata/abstracts, backward and forward citations, author profiles, journal quality, OA PDF, and relevance triage, plus a quota utility. Minor gaps exist around saving/exporting results or citation formatting, but nothing that blocks typical workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues