Why will the next wave of AI Agent be based on Web2AI standard framework protocols such as MCP+A2A?

Author: Haotian

Why do I assert that the next wave of AI Agent hype will definitely be based on web2AI standard framework protocols like MCP and A2A? The logic behind this is simple:

1) The dilemma of web3 AI Agents lies in excessive conceptualization, where narrative outweighs practicality. When discussing the grand vision of decentralized platforms and user data sovereignty, the actual user experience of product applications is often dismal. Especially after experiencing a round of conceptual bubble cleansing, very few retail investors are willing to pay for grand yet unfulfilled expectations.

2) The rapid rise of protocol standards like MCP and A2A in the web2 AI field and their significant momentum in the AI circle stem from their "visible and tangible" pragmatism. MCP is like the USB-C interface of the AI world, allowing AI models to seamlessly connect to various data sources and tools, and there are already many practical cases of MCP.

For example: users can directly control Blender to create 3D models using Claude, some UI/UX practitioners can generate complete Figma design files using natural language, and some programmers can complete code writing, supplementation, and Git submissions in one go using Cursor, among other operations.

3) Previously, everyone expected that web3 AI Agents would give birth to innovative applications in the two vertical scenarios of DeFi and GameFi, but in reality, many similar applications are still stuck at the "showing skills" level of natural language processing interfaces, failing to meet the threshold of practicality.

By combining MCP and A2A, a more powerful Multi-Agent collaboration system can be built, breaking down complex tasks for specialized Agents to handle. For instance, an analysis Agent can read on-chain data, analyze market trends, and connect with other prediction Agents and risk control Agents, transforming the past approach of a single Agent executing tasks into a paradigm of multi-Agent collaborative execution.

All successful application cases of MCP provide successful examples for the birth of a new generation of web3 trading and gaming Agents.

In addition to these, the hybrid framework standards based on MCP and A2A also have advantages such as user-friendliness for web2 users and speed of application implementation. Currently, we only need to consider how to integrate the value capture and incentive mechanisms of web3 with application scenarios like DeFi and GameFi. If a project still adheres to pure conceptualism in web3 while refusing to embrace the pragmatism of web2, it is likely to miss the next wave of new trends in AI Agents.

In short, the new momentum of the next wave of AI Agents is brewing, but it will no longer be a posture of pure narrative and conceptual hype as in the past; it must rely on pragmatism and practical application to sustain itself.