"Model Context Protocol (MCP), developed by Anthropic and released as an open standard in 2024, is the de facto (not absolute) standard method of ensuring a consistent and safe interface between an AI agent (or agents) and the data source (or sources). It specifies how AI agents interact with tools, other agents, data, and context in a safe and auditable manner whenever required. It is consequently a fundamental requirement for effective Agentic AI."
"OWASP is known to be planning its own Top Ten for MCP, but this is not yet available and will (probably) be limited to ten vulnerabilities. Adversa is not trying to compete with OWASP, but to provide immediate assistance for companies developing and implementing agentic AI solutions today. "We will map to OWASP/CSA/NIST where relevant, and plan to contribute this work to the OWASP MCP effort as it formalizes," Alex Polyakov (co-founder and CTO of Adversa AI) told SecurityWeek."
Model Context Protocol (MCP), developed by Anthropic and released as an open standard in 2024, provides a consistent, auditable interface between AI agents and data sources and context, making it fundamental for agentic AI. MCP contains exploitable weaknesses; a described attack allowed an email calendar invite to deliver a jailbreak to ChatGPT without user interaction. AI-specialist firm Adversa published an analysis of the Top 25 MCP vulnerabilities to assist companies implementing agentic AI and plans to map findings to OWASP, CSA, and NIST where relevant. The Adversa table lists names, impact classifications, exploitability ratings, and links to explanatory resources.
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