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MCP for Security: A collection of Model Context Protocol servers for popular security tools like SQLMap, FFUF, NMAP, Masscan and more. Integrate security testing and penetration testing into AI workflows.

Security scanner for GitHub repos, Agent Skills, Plugins, and MCP servers. 17 scanners. Zero dependencies.

The ultimate OWASP MCP Top 10 security checklist and pentesting framework for Model Context Protocol (MCP), AI agents, and LLM-powered systems.

AI Agent Security Middleware — 8-layer defense against prompt injection, data exfiltration & dangerous commands. DLP model: use data freely, block external leaks. Zero dependencies. SDK + OpenClaw plugin. Supports LangChain, AutoGPT, Claude Code, Cursor,

AI agent runtime security scanner - detect malicious behavior in Claude Skills, MCP Servers, Codex Plugins, and more

AI Agent risk scanner — detect security risks in skills, MCP servers & plugins. 29 rules mapped to OWASP Top 10 LLM, MITRE ATLAS & CWE standards. Offline, open source.

MCP is being adopted rapidly. Security guidance is lagging behind. This checklist gives security engineers, platform teams, and technical leaders a clear, actionable baseline for securing MCP deployments , whether you're shipping an internal tool or a customer-facing AI agent.

The Guardian Protocol - MCP-based security monitoring for agentic AI systems

Open-source security scanner for Model Context Protocol (MCP) servers. Audits Claude Desktop, VS Code, Cursor, Windsurf, and 16+ AI tools for secrets, prompt injection, supply-chain risks, and 17+ security checks.

AI agent security: 7 MCP tools for injection detection, PII scanning, command safety, DLP.

TypeScript utilities for building LLM-optimized ESLint plugins - AST helpers, type utilities, security benchmarks, and SARIF output

AI-first security scanner with 79 analyzers, 9,600+ detection rules, and intelligent false positive reduction for AI/ML, LLM agents, and MCP servers

Security scanner for MCP-connected AI agent pipelines

A comprehensive MCP configuration scanner with client-aware security analysis.

Security scanner MCP server for AI coding agents. Prompt injection firewall, package hallucination detection (4.3M+ packages), 1000+ vulnerability rules with AST & taint analysis, auto-fix.

Security co-pilot for AI agents. Scan for vulnerabilities, verify governance, and generate compliance reports during development.

Secure mcp infrastructure to audit and control every data access by AI agents with minimal efforts

Runtime visibility for Python MCP servers. Captures tool calls, session lifecycle, module imports (SHA-256), and subprocess execution as structured NDJSON. No code changes. Apache 2.0

Prompt injection + PII detection MCP server for AI agents. 22 signatures, 7 languages, ~23ms latency. Signed GDPR Art.30 audit reports.

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