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med-lit-mcp

by fc0web
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Python
Remote

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    • medical-evidence-assistant

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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

    A3.7/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: drug entries, PubMed searches, abstract retrieval, clinical trial search, guideline discovery, drug search, and shinryo master operations are all clearly separated. Even the two drug-related tools (search_drug and fetch_drug_entry) have a clear search-then-fetch workflow, avoiding overlap.

    Naming Consistency4/5

    The naming follows a mostly consistent pattern with verb prefixes (search_, fetch_, import_, find_), though shinryo_master_status deviates by being a noun phrase instead of an action. Minor inconsistency with 'find_guideline' versus 'search_' but overall the pattern is predictable and readable.

    Tool Count5/5

    With 9 tools, the server is well-scoped for its purpose of medical literature and drug/reimbursement information retrieval. Each tool covers a distinct domain or step in a workflow, and the count feels neither bloated nor insufficient for the stated functionality.

    Completeness4/5

    The surface covers the main workflows: drug search/detail, PubMed search/abstract, clinical trial lookup, guideline discovery, and shinryo master management. Minor gaps exist, such as lacking full-text article retrieval beyond abstracts or direct PMDA label fetching, but these are acknowledged as external limitations and agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources