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Lacuna Research MCP

by tiptreesystems
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Python
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    TDQS

    A4.4/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool targets a distinct resource or action: search, hypothesis, direction, paper, author context/papers/directions/neighbors, venue, and institution. Even related tools like get_direction and get_direction_papers are clearly separated by whether they return metadata or paginated papers. No two tools appear to do the same thing.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern: search_lacuna, get_hypothesis, get_direction, get_paper, get_author_papers, get_venue_context, etc. The addition of contextual qualifiers like 'author_papers' vs 'author_context' is predictable and uniform. No mixing of camelCase or inconsistent verb styles.

    Tool Count5/5

    The 12 tools are well-scoped for a research corpus server, covering search, hypotheses, directions, papers, authors, venues, and institutions without unnecessary proliferation. Each tool serves a distinct need in the research retrieval workflow. This aligns with the expected range of 3-15 tools.

    Completeness5/5

    The tool surface covers the full lifecycle of research discovery: search across all entity types, then fetch detailed context, papers, directions, and related entities for each. Author, direction, and institution sub-resources (papers, neighbors, authors) are included, and the flexible search_type parameter fills any gaps. No obvious dead ends or missing operations for a read-only research API.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources