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hannesill

M4

by hannesill
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Python
Hybrid

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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

    B3.4/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: database exploration (get_database_schema, get_table_info, execute_query), note handling (search_notes, list_patient_notes, get_note), cohort building (cohort_builder, query_cohort), and meta tasks (capabilities, list_datasets). The deprecated set_dataset is clearly marked, avoiding confusion.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun snake_case pattern (e.g., execute_query, get_note, list_datasets). However, 'capabilities' is a plain noun and 'cohort_builder' is noun_noun, breaking the pattern slightly.

    Tool Count5/5

    11 tools is well-scoped for a medical data analysis server. Each tool covers a necessary operation without overlap or redundancy, and the count feels balanced for the domain.

    Completeness4/5

    The tool surface covers core workflows: database discovery, SQL querying, note retrieval and search, and cohort filtering. A minor gap is the lack of a direct patient demographics tool, but SQL queries can retrieve that information.

    Maintenance

    ActivityMaintained
    ResponsivenessSlow

    Resources