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.
Enables anonymization and deanonymization of sensitive data in text using Microsoft Presidio. Supports session-based storage to reversibly replace sensitive information like passwords and secrets with placeholder tokens.
Wraps CloakLLM's Python SDK to provide tools for PII detection, cloaking, and restoration within MCP-compatible clients. It enables users to sanitize sensitive data before sending it to an LLM and restore original values using unique token map IDs.
Provides MCP tools for scanning, redacting, and packaging dataset/model directories for public release, leveraging Presidio for PII detection and generating Hugging Face cards and EU AI Act training-data summaries.