AI agents are increasingly embedded into financial industries, including crypto, but the industry has yet to experience the security vulnerabilities hidden in them.
AI agents in crypto are increasingly embedded in wallets, trading bots and onchain assistants that automate tasks and make real-time decisions.
Though it’s not a standard framework yet, Model Context Protocol (MCP) is emerging at the heart of many of these agents. If blockchains have smart contracts to define what should happen, AI agents have MCPs to decide how things can happen.
It can act as the control layer that manages an AI agent’s behavior, such as which tools it uses, what code it runs and how it responds to user inputs.
