MCP-Trust Suite is a comprehensive security testing framework purpose-built for Model Context Protocol (MCP) servers and AI agents. Unlike traditional API security tools, it validates whether AI agents themselves can be compromised through prompt injection, malicious tool outputs, or weak server controls

The Zero Trust framework for MCP development & runtime.

Secure hybrid AI assistant brain reinvented from OpenClaw, combining Microsoft Agent Framework + Azure OpenAI with zero-trust MCP sandboxed desktop tools.

This project implements a Zero Trust framework on GCP, automating access control and policy enforcement. It uses n8n for workflows, enhanced by an MCP server and LLMs for intelligent, adaptive security decisions and automated remediation

A lightweight identity, verification, and discovery layer for the Model Context Protocol (MCP). Includes the core specification, a reference registry, example credentials, and Python/TypeScript SDKs for verifying MCP servers using DIDs and verifiable credentials.

The Spider Web Protocol — an open standard for AI agent registration, discovery, and cryptographic trust across frameworks. Compatible with Google A2A, Anthropic MCP, and OWASP ANS.

A vulnerability lab and zero-trust middleware framework for Model Context Protocol (MCP). Demonstrates 8 metadata-based attack vectors and proposes a 'Sentinel' gateway for tool-poisoning mitigation.

A lightweight, modular security framework for AI/ML models, agents, tools, and data, targeting Google ADK, Anthropic MCP, and extensible protocols that emphasizes ease of use, zero-trust security, and flexible deployment.

🛡️ Official monorepo for SupraWall security plugins and framework integrations. Deterministic zero-trust guardrails for AI agents, including Prompt Injection protection, PII scrubbing, and policy enforcement across Dify, MCP, LangChain, CrewAI, AutoGen, and Vercel AI.