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.
Provides MCP tools for prompt injection detection and content sanitization, safeguarding LLM pipelines. Also enables Japanese PII scanning and masking for secure data handling.
Enables agents to detect and redact PII and secrets in text, HTML, and PDF documents before they reach an LLM, with reversible placeholder, mask, or hash redaction, and to list supported detectors and redaction styles.
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.