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

Provenance-aware security proxy for AI agents: block prompt-injection actions at the MCP tool boundary.

Open-source framework for AI-layer security testing — finds AI-agent weaknesses and writes the regression tests that close them.

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

The MCP security scanner that actively exploits: prove SSRF, path traversal, command injection and more in MCP servers (OWASP MCP Top 10).

Composable data security plane for Model Context Protocol. Pluggable layers — collect, analyze, guard — across 50+ enterprise providers. Open architecture.

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.

AI security skills grounded in mid-2026 threat reality, not stale framework documentation. 38 skills, 10 catalogs, 34 jurisdictions, pre-computed indexes, Ed25519-signed.

Security control plane for AI agents — identity and delegation, capability policy, data-flow taint and a live audit trail, enforced over MCP. Guards a real Claude Code end to end.

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.

Security gateway for MCP agents: blocks prompt-injection-driven tool calls (poisoned payments, fabricated results) with cryptographic receipts, value-provenance enforcement, and multi-model consensus. The verification layer no syntactic MCP firewall has.

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.

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.

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.

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

Install the secure-code security skills into a Claude Code project, and connect MCP servers (secure-code-mcp or any other).

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

Comprehensive security sanitization library for Model Context Protocol (MCP) servers with trusted security libraries

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