Security toolkit for AI agents. Scan your machine for dangerous skills and MCP configs, monitor for supply chain attacks, test prompt injection resistance, and audit live MCP servers for tool poisoning.

First formal security scanner for AI agent skills & plugins. Static analysis, supply chain verification, SBOM generation. 22 frameworks supported including MCP, LangChain, CrewAI.

Security evaluation harness for OpenClaw agents. 280+ attack payloads across prompt injection, tool exfiltration, context bleed, privilege escalation, supply chain, MCP, indirect injection, evasion bypass, memory poisoning, platform- specific, financial transaction, & unauthorized action testing. CI-ready with JSON/SARIF/JUnit outputs

Supply chain security scanner for MCP servers. Detect typosquats, CVEs, credential leaks, and dangerous permissions in your AI agent configs.

GitHub security posture analysis for AI agents — 39 MCP tools, 45 checks across org, repos, Actions, secrets, supply chain, and access control

Building a Supply-Chain Copilot with OpenAI Agent SDK and Databricks MCP Servers

The Secure Chain Model Context Protocol (MCP) server to give context about your software supply chain to any type of LLM or AI agent.

A swarm of specialized AI agents that detect, assess, and autonomously respond to supply chain disruptions in real-time, using MCP server..

The CI/CD layer for AI-native development — 5 GitHub Actions for PR quality, cost tracking, MCP testing, supply chain security, and agent skill validation

Claritty is a zero-dependency agentic terminal built on first principles of security and governance. No supply chain. No MCP. No hooks. No credentials on disk. Every action auditable. Every execution traceable. Compliance with HIPAA, PCI DSS, SOC 2, and FedRAMP satisfied architecturally.

a2a adk mcp agent implementation for supply chain agents

Building an enterprise-grade, secure Supply Chain Orchestrator. You will combine the power of multi-agent systems using the Agent Development Kit (ADK), real-time data from AlloyDB via the MCP Toolbox, and proactive security shielding using Google Cloud Model Armor.

A multi-agent supply-chain optimization platform using Claude-powered MCP agents, graph-based planning, and an interactive React UI for cost-, eco-, and stability-aware decision modeling.

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A security toolkit for AI agent supply chains, focused on MCP (Model Context Protocol) supply chain security and agent credential lifecycle governance.

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

A next-gen Supply Chain Intelligence Assistant using OpenAI, MCP, and multi-agent tool chaining. Supports multimodal reasoning, dynamic tool orchestration, and traceable chain-of-thought logs.

Analyze supply chain risks by country using World Bank data, by an AI Agent connected to an MCP Server

PatchPilots security agent as an MCP server. Catch supply chain attacks and security anti-patterns inside Claude Code, Cursor, and any MCP-compatible IDE.

Scan AI agent skills and MCP servers for prompt injection, data leaks, and supply-chain threats to secure production environments.

A vendor-neutral, agent-framework-agnostic registry for AI agents, skills, and MCP servers. Metadata store with evaluation signals, promotion lifecycle, and supply chain visibility.

A Multi-Agent Reinforcement Learning (MARL) environment for Meta's OpenEnv, simulating decentralized supply chain negotiations using an MCP-inspired communication protocol.

An AI-augmented Power BI system that identified $1.35M in at-risk revenue and prescribed supply chain optimizations using an MCP Agent.

Multi-agent pharmaceutical supply chain optimizer using OECD Pharma data (19.6M rows), World Bank financing, and reinforcement learning with MCP tool orchestration

The practitioner's map for building an Agentic Center of Excellence — frameworks, MCP servers, RPA-to-agent transition playbook, CoE comparisons, and deployment checklists for healthcare, finance, and supply chain.

Supply Chain Intelligence Chatbot Q&A system using FastAPI, Streamlit, Azure Cosmos DB vector store, Azure OpenAI, and Agentic RAG with MCP. Ask complex supply chain questions with intelligent multi-step reasoning, source citations, and audit trails. Production-ready with Docker deployment.

A reference implementation and learning repository for mocking supply chain scenarios using AI agents and the Model Context Protocol (MCP), featuring real-time visualization and orchestrated S&OP workflows."

Open source supply chain risk analysis via MCP — give your AI agent direct access to CVE records, CISA KEV exploits, maintainer bus-factor scores, and typosquat detection across 7 live intelligence sources.

Deterministic MCP middleware for detecting cognitive amplification failures in LLM agent systems. Maps the supply chain Bullwhip Effect onto multi-layer AI decision pipelines. 6 tools, 100 pct threshold-based scoring, no LLM inside.