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Audit MCP server configurations for security vulnerabilities
By
Academic Research (Leidos)
AI-Specific
β Purpose-built for MCP security auditing
Tool from the "MCP Safety Audit" paper (arXiv). Evaluates MCP server definitions for prompt injection vectors, tool poisoning, and excessive permissions. Integrates with the PROTOAMP framework for bridging agent security benchmarks to MCP infrastructure.
Cisco AI Supply Chain Scanners
Field
Details
URL
Cisco Talos GitHub (open source)
Purpose
Security scanning for MCP, A2A, agentic skill files, pickle files
By
Cisco AI Threat Intelligence & Security Research
AI-Specific
β Purpose-built for AI supply chain security
Released with Cisco State of AI Security 2026 report:
Automated Google Dorking with multi-agent analysis pipeline
By
Open Source Community
AI-Specific
β‘ Configurable for AI infrastructure dorking
Python OSINT framework: interactive wizard, dork generator, multi-agent analysis (SQLi detection, secrets scanning, security analysis), HTML report export. Can be configured with AI-specific dork sets from this repository.
AI-powered static analysis β finds context-dependent vulnerabilities that rule-based tools miss
By
Anthropic
AI-Specific
β AI model performing security analysis
Limited research preview for Enterprise/Team. Free for OSS maintainers. Built on Claude Opus 4.6 (500+ vulns found in production OSS). Reads code like a human researcher β traces data flows, catches business logic flaws.
β οΈ Defensive capability that Red Team operators should be aware of.
New entries: CVE-2026-25536 (TypeScript SDK), CVE-2026-30615/30624/30616/40933 (Ox batch), CVE-2026-33032 (nginx-ui MCPwn), CVE-2026-27825/27826 (Atlassian). Academic analysis of 67,057 MCP servers across 6 registries.
π v1.4.0 Tool Additions (June 2026)
All AI-specific, open-source, and verified against their repos (June 2026).
Theme: MCP / agent-skill auditing β the defensive response to the OpenClaw crisis.
Open detection standard β "like Sigma, but for AI agents." 425 rules covering skill compromise, MCP abuse, prompt injection, exfiltration. Maps to OWASP Agentic Top 10, MITRE ATLAS, NIST.
By
Community / OWASP A-S-R-H; shipped in Microsoft AGT, Cisco AI Defense, MISP
AI-Specific
β Purpose-built detection format for agent/skill/MCP threats
Open-source agentic governance layer: admission control that scans skills, MCP servers, plugins, and generated code before they run. Bundles skill-scanner, mcp-scanner, a2a-scanner, CodeGuard static analysis, and an AI-BOM generator.
Detects prompt injection, exfiltration, and malicious patterns in agent skills (Cursor, Claude Code, Codex).
By
Cisco AI Defense (Apache 2.0)
AI-Specific
β Agent-skill-specific
AgentAuditKit
Field
Details
Install
pip install agent-audit-kit
What
77 rules across 13 scanners auditing 13 AI agent platforms (Claude Code, Cursor, Copilot, Windsurf, Amazon Q, Gemini CLI). Checks MCP config exposure, hardcoded keys, invisible-Unicode tool-description hijacking, taint analysis. Maps to OWASP MCP Top 10.
By
Independent (Sattyam Jain)
AI-Specific
β
mcp-audit
Field
Details
What
Offline MCP config auditor across 8 MCP clients; cross-server attack paths, IDE extension security, SAST for Python/TypeScript (37 rules). Maps findings to OWASP MCP Top 10.
By
Independent (Adam Dudley)
AI-Specific
β
SkillSpector
Field
Details
What
Agent-skill security scanner β 64 vulnerability patterns across 16 categories; 0β100 risk score with severity labels. Audits skills before deployment.
By
Independent
AI-Specific
β
VIPER-MCP
Field
Details
What
Combined static + dynamic (taint-style) analysis framework for MCP servers. Ran across ~40,000 server repos β 106 zero-days / 67 CVEs.
By
Academic research
AI-Specific
β MCP-specific
Other defensive references worth tracking (knowledge bases, not tools):
awesome-agent-skills-security,
SAFE-MCP (OpenSSF), and the NSA MCP design-considerations guidance (June 2026).