Adversa AI MCP Security May 2026 Roundup: AWS Labs STRIDE Threat Modeling MCP Server, MCP Pitfall Lab Static Analyzer (F1=1.0 on 4/6 Classes), and 50+ Cataloged MCP Threat Vectors

Adversa AI·medium signal

Adversa AI's May 2026 MCP security roundup highlights three actionable resources. AWS Labs released a threat-modeling MCP server that walks agents through 9-phase STRIDE methodology with exportable Markdown/JSON reports. The MCP Pitfall Lab paper introduces a six-class pitfall taxonomy (P1-P6) with a static analyzer achieving perfect F1 on four classes — hardening eliminates all Tier-1 findings (29 to 0) at a mean cost of 27 lines of code. A comprehensive survey now catalogs 50+ specific MCP threats mapped to STRIDE and MAESTRO frameworks. For teams running MCP servers: the AWS STRIDE tool and Pitfall Lab analyzer are immediate additions to your security toolchain.