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DriftScope

DriftScope

by Aymenrahmanii
OverviewSchemaSourceRelated ServersDiscussionsAdmin
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

    A3.5/5.0

    Scored across 4 tools

    Disambiguation4/5

    check_feature_drift and compute_psi both assess feature drift but with distinct statistical methods (KS test vs. PSI) and different outputs (shift detection vs. severity). This is a clear enough separation, though an agent might still pause to choose between them for a generic drift-check request. generate_mock_datasets and get_monitoring_policy are unambiguous.

    Naming Consistency5/5

    All tools use a consistent verb_noun snake_case pattern: generate_mock_datasets, check_feature_drift, get_monitoring_policy, compute_psi. Minor abbreviation in compute_psi doesn't break the convention. The set is highly predictable.

    Tool Count5/5

    Four tools are well-scoped for a focused drift analysis server: one data generator, two drift metrics, and one reference tool. Each tool clearly earns its place without redundancy. The count fits comfortably within the ideal 3-15 range.

    Completeness3/5

    The surface covers continuous feature drift via KS and PSI, plus data generation and policy guidelines. However, it lacks categorical drift tests, batch/multi-feature analysis, and any policy update or model drift tools. These are notable gaps for a server named DriftScope.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources