Local pseudonymisation MCP server that detects PII in text, replaces it with opaque tokens before sending to cloud LLMs, and restores tokens afterward.
MCP server and CLI for detecting, redacting, and auditing PHI in medical text before it is sent to AI agents, with tools for scan, redact, audit, and validate operations.
An MCP server that enables LLMs to detect and anonymize over 25 types of Personally Identifiable Information (PII) using Microsoft Presidio. It supports various redaction strategies and can process both plain text and structured data to help ensure data privacy.