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MCP server providing security scanning, prompt injection detection, secret leak detection, and agent permission auditing for AI agent workflows

Security scanner for AI agent tools — detect tool poisoning, permission abuse, and supply chain attacks in MCP servers and agent skills

Security scanner for MCP (Model Context Protocol) servers. Detect authentication gaps, credential exposure, SSRF risks, and misconfigurations. Maps findings to OWASP MCP Top 10.

AI agent security: scan skills for 25 attack classes + runtime monitoring (EDR for AI agents). Real-time scanning, behavioral anomaly detection, session monitoring, exfiltration alerts. 1,316+ findings from 450+ audits. OWASP Agentic AI Top 10 mapped.

A Rust application for scanning and verifying the security of Model Context Protocol server configurations, prompts, resources, and tools.

Comprehensive security scanner for Model Context Protocol (MCP) servers

Build Secure and Compliant AI agents and MCP Servers. YC W23

AI security scanner - secrets, PII, prompt injection, and exfiltration detection.

The Reference Architecture for Local AI Governance & Firewalling. Secure, deterministic protection for Agents, MCP, and LLMs.

Open-source DNS & email security scanner. One MCP endpoint, 57 checks, zero install. Cloudflare Workers.

MCP server for LLM-driven security testing via HTTPToolkit — capture analysis, mutation-based replay, audit trails for mobile and electron app pentesting

Lightweight security guardrails for tool-enabled agent runtimes: scan risky payloads, redact secrets, expose stdio/HTTP MCP tools, and write audit logs.

CStrike v2.6 — Offensive Security Platform. 35+ tools, 9-container Docker stack, self-update system, parallel port scanning, VPN kill-switch. Dual-arch (amd64/aarch64) VM distribution.

The open-source firewall for AI agents. Block prompt injections, jailbreaks, and data leaks before they reach your LLM. Multi-layer defense, agent-era security (MCP/Capability), US/CN/JP/EU compliance. Zero-dependency core.

SecureMCP is a security auditing tool designed to detect vulnerabilities and misconfigurations in applications using the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction). It proactively identifies threats like OAuth token leakage, prompt injection vulnerabilities, rogue MCP servers, and tool poisoning attacks.

Blackwall LLM Shield is an open-source AI security toolkit for JavaScript and Python that protects LLM apps from prompt injection, sensitive data leaks, unsafe tool calls, and hostile RAG content with prompt sanitization, PII masking, output inspection, policy enforcement, and audit trails.

MCP server for OT (Operational Technology) security standards and frameworks

MCP server for CheckVibe security scanning — run security audits from AI coding agents

Secure Model Context Protocol (SMCP) v1 - Production-ready security framework for MCP implementations

Stratos - Azure Security Assessment MCP Server - 32 Professional Security Tools (With Annotations & Tests)