The Hidden Dangers of AI Agents: 11 Critical Security Risks in Model Context Protocol (MCP)

A Deep Technical Analysis of Emerging Vulnerabilities in Agentic AI Infrastructure By Jayavelu Balaji | February 2026 Executive Summary The Model Context Protocol (MCP), released by Anthropic in November 2024, has rapidly become the de facto standard for connecting Large Language Models (LLMs) to external tools and data sources. With adoption across major platforms including Claude Desktop, OpenAI Agent SDK, Microsoft Copilot Studio, Amazon Bedrock Agents, Cursor, and Visual Studio Code, MCP now processes millions of requests daily through platforms like Zapier's MCP integration. However, this explosive growth has introduced a critical attack surface that most organizations fail to recognize. Our analysis reveals 11 distinct vulnerability classes affecting MCP implementations, including CVE-2025-6514 (CVSS 10.0), tool poisoning attacks, and cross-server context abuse. These vulnerabilities threaten the integrity of enterprise AI systems, particularly in regulated industries like financ