Why do I assert that the next round of AI Agent craze will be based on web2AI standard framework protocols such as MCP+A2A? The logic behind it is simple:
1) The dilemma of web3 AI Agent is that it is over-conceptualized, with narratives outweighing practicality. When discussing the future of decentralized platforms and the grand vision of user data sovereignty, the user experience of actual product applications is terrible. Especially after experiencing a round of conceptual bubble baptism, few retail investors are willing to pay for grand and unfulfilled expectations;
2) The rapid rise of MCP, A2A and other protocol standards in the web2 AI field and their potential in the AI circle stem from their “visible and tangible” pragmatism. MCP is like the USB-C interface in the AI world, allowing AI models to seamlessly connect to various data sources and tools. There are already many practical cases of MCP.
For example, some users can use Claude to control Blender to create 3D models, some UI/UX practitioners can use natural language to generate complete Figma design files, and some programmers can use Cursor to complete code editing, supplementing, and Git submission in one stop.
3) Previously, everyone expected that web3 AI Agent would be able to produce innovative applications in the two major vertical scenarios of DeFai and GameFai, but in fact, many similar applications are still at the "showy" level of natural language processing interfaces, and are simply not up to the threshold of practicality.
By combining MCP and A2A, a more powerful Multi-Agent collaboration system can be built to decompose complex tasks to specialized agents. For example, let the analysis agent read the on-chain data, analyze the market trend, and connect other prediction agents and risk control agents in series, transforming the idea of single agent integrated execution in the past into a multi-agent collaborative division of labor execution paradigm.
All the successful application cases of MCP mentioned above have provided successful examples for the birth of a new generation of web3 transactions and game agents.
In addition to these, the hybrid framework standard based on MCP and A2A also has advantages such as friendliness for web2 users and application landing speed. At present, we only need to consider how to combine the value capture and incentive mechanism of web3 with application scenarios such as DeFai and GameFai. If you are still adhering to the pure conceptualism of web3 and refusing to embrace the pragmatism of web2, you may miss the next round of new trends of AI Agent.
In a word, the next wave of AI Agent momentum is brewing, but it is no longer a purely narrative concept-stirring attitude of the past, but must be supported by pragmatism and application implementation.
