"author:J-X0" matching MCP servers:

Semantic log clustering for incident triage, exposed as an MCP server.

Enables screening LLM input and output through cost-tiered safety checks with per-tenant budgets, returning allow, block, or review decisions. It exposes a JSON-RPC screen tool that isolates tenant spend and falls back to a configurable policy on provider failure or budget exhaustion.

Timeseries anomaly analysis for fleet telemetry, delivered as an MCP server.

Enables fully air-gapped multimodal document processing by fusing layout parsing with text extraction to produce ordered, labelled reading blocks and reconstructed text via an MCP stdio server.

Enables incremental model scoring over an append-only event log, with a tamper-evident, hash-chained audit trail so every decision can be reviewed and independently re-verified.

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

Enables retail merchandising recommendations via an MCP server that ranks candidates with a Thompson-sampling bandit, tracks per-tenant monthly spend caps, and exposes recommend, record_feedback, and budget_status tools over JSON-RPC stdio.

Provides MCP tools for edge-based pharmaceutical shipment disposition decisions, returning release, review, or quarantine outcomes while recording every decision in a tamper-evident, hash-chained audit trail.

Enables data-quality workflows by applying named, deterministic transformations to records and generating replayable lineage with content hashes, so users can verify that cleaned results follow exactly from raw inputs.

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.

MCP server for search ranking evaluation and drift monitoring, enabling ranking of documents, scoring against editorial judgments, and detecting ranking regressions with a tamper-evident audit trail.

Reconstructs the reading order of laid-out document blocks from their bounding boxes and exposes it over the Model Context Protocol, with deterministic offline operation and optional model-based refinement.

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.