io.github.Rinava/umbryn-mcp
Redacts PII/PHI from text before it reaches an LLM. Fail-closed, self-hosted, no egress.
Verdict not yet evaluated for this tool. The semantic screen takes adversarial cases first; coverage rolls out as the corpus expands (15/150 labels to graduation). The deterministic conformance probe is built but has not yet run on the public corpus, so a recorded verdict here is REVIEW or UNVERIFIED, never a clearing ALLOW. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: the eval, four-state verdict, honest limits.
Own this server? Screen its description →
UMBRYN_ENGINEDetection engine: auto (default), regex, or presidio
UMBRYN_MIN_CONFIDENCETrust threshold (0-1); detections below it fail closed. Default 0.5
UMBRYN_DETECTION_FLOORSensitivity floor (0-1); below this a signal is noise. Default 0.35
Focused MCP server for OpenAI image/audio generation (v2.0.0). Wraps endpoints via HAPI CLI.
Public MCP server for the LLM Search Engine
The grounded data layer for any LLM: governed SQL, metrics, lineage and catalog over your data.