Communication Framework Launch

MCP and AI Agent: A New Framework for Artificial Intelligence Applications 1. Introduction to the concept of MCP Traditional chatbots in the field of artificial intelligence often lack personalized character settings, resulting in responses that are monotonous and lack human warmth. To address this issue, developers have introduced the concept of "character setting" to give AI specific roles, personalities, and tones. However, even with rich "character settings", AI remains merely a passive responder, unable to proactively execute tasks or perform complex operations. The Auto-GPT project has emerged, allowing developers to define tools and functions for AI and register them in the system. When users make requests, Auto-GPT generates operational instructions based on preset rules and tools, automatically executes tasks, and returns results. This transforms AI from a passive responder to an active task executor. Despite Auto-GPT achieving autonomous execution of AI, it still faces inconsistencies in tool invocation formats.

MCP (Model Context Protocol) aims to simplify the interaction between AI and external tools, empowering AI Agents with higher autonomous execution capabilities and promoting the integration of Blockchain and AI. However, most projects based on MCP are still in the proof-of-concept stage and face developmental challenges. In the future, MCP may achieve broader applications in areas such as Decentralized Finance and DAO.

MCP (Model Context Protocol) enhances the interaction efficiency between AI Agents and external tools by providing a unified communication standard, promoting applications in the field of Decentralized Finance. Despite facing challenges, the MCP protocol demonstrates significant market potential and is expected to drive the deep integration of AI and Blockchain in the future.

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MCP (Model Context Protocol) simplifies the interaction between AI Agents and external tools by providing a unified communication standard, enhancing their initiative and execution capabilities. This protocol has broad application prospects in fields such as Decentralized Finance, DAO, but still faces challenges such as technical integration and security.