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.
MCP server for scanning machine learning model artifacts for unsafe serialization, malicious model patterns, risky packaging, URL-based artifact scanning, and directory-level triage using ModelScan, PickleScan, and heuristic inspection.
Runtime governance for MCP tool calls. Blocks prompt injection and capability abuse before tool results reach your agent.