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keigo-taguchi

safe-data

by keigo-taguchi
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    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

    A4/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool targets a distinct resource or operation (views, SQL, inbox files, synthetic fixtures, sandbox scripts). The main overlap is schema_describe and fixture_make, which both produce Faker dummy rows, though schema_describe is for schema inspection and fixture_make for generating test data.

    Naming Consistency5/5

    All names use consistent snake_case with a clear object_action pattern: schema_describe, sql_run, files_describe, fixture_make, py_run. Minor abbreviations (sql, py) are readable and do not break the convention.

    Tool Count5/5

    Five tools is well-scoped for a privacy-safe data access server. Each tool has a clear role in the workflow: schema discovery, querying, file cataloging, fixture generation, and sandbox execution.

    Completeness4/5

    The surface covers the core read-only analysis lifecycle: discover schemas, query safe views, inspect PII inbox metadata, generate synthetic data, and run sandboxed scripts. A minor gap is the lack of a tool to list available analysis scripts or otherwise help discover script paths for py_run.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources