"React" matching MCP servers:

Enables AI agents to permanently remove personally identifiable information from PDF documents, returning redacted files with the sensitive text deleted rather than merely covered. Supports scanned documents, multiple languages, entity types, and optional human review.

Enables evolving scan and policy configurations by inferring security phenotypes from observed findings, seeding competing genomes, measuring fitness, and generating bounded trial plans with ancestry lineage.

Local-first CLI and MCP server for redacting sensitive text before sharing logs, configs, and errors with AI tools.

Automatically detects and obfuscates sensitive data (PII, secrets, etc.) before Claude processes it, with lossless restoration for client deliverables.

Provides a secure control plane for MCP-powered AI agents, enabling role-based tool authorization, streaming PII redaction, token limiting, and provider fallback through a React dashboard.

An MCP server that redacts PII/PHI from text before it ever reaches an LLM — self-hosted, fail-closed, and HIPAA-aware.

Enables local, privacy-mode incident handoffs with four fixed questions, pattern-guarded redaction, human-review drafts, and optional in-memory data clearing.

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.