This article details significant security vulnerabilities found in the Model Context Protocol (MCP) ecosystem, a standardized interface for AI agents. It outlines six critical attack vectors – OAuth vulnerabilities, command injection, unrestricted network access, file system exposure, tool poisoning, and secret exposure – and explains how Docker MCP Toolkit provides enterprise-grade protection against these threats.
This article details the Model Context Protocol (MCP), an open standard for connecting AI agents to tools and data across enterprise landscapes. It covers MCP implementations by AWS, Azure, and Google Cloud, security considerations, and the growing ecosystem surrounding the protocol.
Researchers from AWS and Intuit have designed a zero-trust security framework for the Model Context Protocol (MCP), addressing threats like tool poisoning and unauthorized access through multi-layered defenses including Just-in-Time access control and behavior-based monitoring.
