We Built the CVE Database for AI Agents and Here's What We Found Scanning 100 MCP Servers

Researchers have identified security vulnerabilities in 15% of tested MCP servers, highlighting risks such as binary content disguised as skill files and poisoned tool descriptions. To address these issues, a new ML-based scanner called Bawbel has been developed, featuring six detection stages including pattern matching, YARA rules, Semgrep, and behavioral sandboxing. The tool also includes VS Code integration and CI/CD pipeline support to ensure continuous security monitoring for agent development environments.

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