Author: Haotian

Why would I assert that the next round of AI Agent craze will definitely be based on web2AI standard framework protocols such as MCP+A2A? The logic behind it is very simple:

1) The dilemma of web3 AI Agent lies in overconceptualization, narrative over practicality, and when discussing the grand vision of user data sovereignty in the future of decentralized platforms, the user experience of actual product applications is terrible. Especially when it has experienced a round of conceptual bubble baptism, few retail investors are willing to pay for grand and unfulfilled expectations;

2) The rapid rise of protocol standards such as MCP, A2A in the field of AI and the formation of large potential energy in the AI ​​circle is due to its "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: Some users can directly use Claude to control Blender to create 3D models, some UI/UX practitioners can generate complete Figma design files in natural language, and some programmers can also directly use Cursor to complete code compilation and Git submission and other operations.

3) Previously, everyone expected that web3 AI Agent would be able to be innovatively implemented in the two vertical scenarios of DeFai and GameFai, but in fact, many similar applications are still at the "show level" level of natural language processing interfaces, which is not at the threshold of practicality at all.

Through the combination of MCP and A2A, a more powerful Multi-Agent collaboration system can be built to decompose complex tasks to special agents for processing. For example, let the analytical agents read on-chain data, analyze market trends, and connect other prediction agents and risk control agents to transform the idea of ​​integrated execution of single agents in the past into a paradigm of collaborative division of labor execution of multiple agents.

All the successful application cases of MCP provide successful examples for the birth of the new generation of web3 transactions and game agents.

In addition to these, the hybrid framework standards based on MCP and A2A also have advantages such as friendliness for web2 users and application implementation speed. At present, we only need to consider how to combine the value capture and incentive mechanism of web3 and application scenarios such as DeFai and GameFai. If you are still in a project that adheres to pure conceptualism of web3 and refuses to embrace web2 pragmatism, you may miss the next round of new AI Agent trends.

In a word, the next wave of AI Agent is brewing, but it is no longer the past pure narrative concept speculation, but must be supported by pragmatism and application implementation.