"InfoQ" matching MCP servers:

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.

A modular MCP server providing structured, methodology-driven prompt endpoints for rapid legal/compliance landscape mapping, gap discovery, and risk prioritization across privacy, IP, AI governance, security, consumer, and disclosure domains, with argument-based adaptability to any product context.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.