Observed MCP server

speaker-context-layer

Local MCP server for private, consent-based speaker identification and attribution, with per-language voiceprints and calibrated match thresholds. It lets AI assistants know who is speaking in a room or transcript without cloud services.

Security score

—/100

Awaiting a completed comparable scan.

Seven-category assessment pending: authentication, tool poisoning, prompt injection, dangerous capabilities, dependency risk, data exfiltration, and transport security.

Score history

Pending

Immutable methodology-versioned snapshots

Schema drift

Pending

No normalized tool schema observed

Fingerprint

Pending

Repository/package-backed identity

Public findings

No public findings recorded

This is not a safety claim. Check the coverage and revision status before relying on absence of findings.