AI-powered sensitive info detection and masking MCP server supporting 14+ types with regex, checksum, and optional LLM semantic detection, enabling flexible masking strategies like mask, replace, hash, and redact.
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.
MCP server for locally masking personal data in documents before sending them to a language model, then restoring the original data in the model's response.
A PostgreSQL MCP server that automatically detects and obfuscates personally identifiable information (PII) in query results using column-name heuristics and NLP analysis. It enables AI agents to interact securely with databases by masking sensitive data by default while allowing selective unmasking under user control.
