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junhewk

med-lit-mcp

by junhewk
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Python
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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

    B3.2/5.0

    Scored across 26 tools

    Disambiguation4/5

    Most tools target distinct workflow stages (project setup, search, screening, fetching, wiki extraction, synthesis), so an agent can usually tell them apart. A few boundaries are fuzzy, especially between record_screening_decisions and review_article, and between resolve_duplicates and merge_entities, but descriptions provide enough guidance.

    Naming Consistency4/5

    Nearly all tools use snake_case with a predictable verb-led pattern such as list_articles, create_project, record_extraction, and resolve_duplicates. Minor deviations like guide and wiki_tasks are readable but slightly break the strict verb_noun convention.

    Tool Count3/5

    26 tools is heavy for a single MCP server, and several stage-specific helpers could likely be consolidated. The complex systematic-review pipeline justifies more tools than a simple CRUD server, but the count is still at the borderline-heavy end.

    Completeness4/5

    The surface covers the core review lifecycle: projects, question validation, search, screening, fetching, extraction, wiki curation, synthesis, and export. Minor gaps like project deletion/renaming or criteria updates are workable around, but not every lifecycle operation is exposed.

    Maintenance

    ActivityNo data
    ResponsivenessNo issues

    Resources