Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Real-time security framework for MCP servers that detects and blocks malicious AI agent behavior by analyzing tool call patterns and intent across multiple threat detection engines.
Pre-execution governance for AI agents. Intercepts and validates every agent tool call through an 8-stage pipeline before execution — risk classification, behavioral drift detection, hold queue for dangerous operations, and complete audit trail. 45 tools, 658 tests.