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Inciteful MCP

Inciteful MCP

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      Enables AI apps to search real scholarly papers through OpenAlex and retrieve details, abstracts, citation counts, DOIs, open-access links, related papers, and citing papers.
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    • A
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      Enables users to search and analyze academic papers from multiple sources, fetch metadata and full text, and build structured outputs like literature maps and paper comparisons.
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    TDQS

    A4/5.0

    Scored across 9 tools

    Disambiguation4/5

    Each tool targets a distinct research workflow step: search, retrieval, similarity, citation paths, discovery, review, abstracts, and full-text. Similar purposes exist between similar_papers and discover_papers, but their methodological differences are clearly described, avoiding significant confusion.

    Naming Consistency4/5

    Tool names mostly follow a verb_noun pattern (search_papers, get_paper, connect_papers, get_abstract, get_full_text). A few names deviate slightly, such as similar_papers and literature_review, but the convention is consistent enough to be predictable and readable.

    Tool Count5/5

    With 9 tools, the set is well-scoped for a scholarly research assistant covering search, discovery, analysis, and retrieval. Each tool has a clear role without unnecessary proliferation or redundancy.

    Completeness5/5

    The tools cover the full research lifecycle: searching, retrieving metadata, exploring citation relationships, ranking and discovering papers, building literature reviews, and obtaining abstracts and full text. No major gaps are evident for the stated academic research domain.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing