"author:J-X0" matching MCP servers:

Enables k-anonymization of tabular data through generalization and suppression, with utility reporting and an MCP interface for field classification and anonymization. Runs entirely in-process with no network access.

Enables graph-based fraud propagation scoring for clinical diagnostics, diffusing risk across entities with a deterministic fallback when the ML model is unavailable.

Enables streaming inference over utility meter telemetry with exactly-once tumbling windows and offline, in-process anomaly detection via stdio JSON-RPC, keeping regulated meter data within the customer boundary.

Enables deterministic, auditable retrieval over a document corpus by decomposing queries into subqueries, allocating recall budgets, and merging ranked results that are bit-reproducible from a recorded seed.