Author: Haotian
Why do I assert that the next wave of AI Agent trends will definitely be based on MCP+A2A and other web2AI standard framework protocols? The logic is simple:
1) The dilemma of web3 AI Agents lies in over-conceptualization, with narrative trumping practicality. While discussing decentralized platforms and grand visions of user data sovereignty, the actual user experience of product applications is dismal. Especially after experiencing a round of conceptual bubble baptism, few retail investors are willing to pay for grand and undeliverable expectations;
2) The rapid rise of protocols like MCP and A2A in the web2 AI field and their formation of significant momentum stem from their pragmatic "tangible and visible" nature. MCP is like the USB-C interface of the AI world, allowing AI models to seamlessly connect to various data sources and tools, with many practical MCP use cases already existing,
For example: Users can directly use Claude to control Blender for 3D model creation, UI/UX professionals can generate complete Figma design files using natural language, and some programmers can use Cursor to comprehensively complete code writing, supplementation, and Git submissions, and so on.
3) Previously, everyone expected web3 AI Agents to have innovative applications in two vertical scenarios: DeFai and GameFai. However, in reality, many similar applications are still stuck at the level of "showing off" in natural language processing interfaces, far from meeting usability thresholds.
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, letting analysis Agents read on-chain data, analyze market trends, and link with other prediction Agents and risk control Agents, transforming the previous single-Agent integrated execution approach into a multi-Agent collaborative division of labor paradigm.
All successful MCP application cases provide successful examples for the birth of the next generation of web3 trading and gaming Agents.
Beyond these, the hybrid framework standard based on MCP and A2A offers advantages in user-friendliness and application landing speed for web2 users. Currently, the focus should be on how to combine web3's value capture and incentive mechanisms with application scenarios like DeFai and GameFai. Projects that stubbornly adhere to web3 pure conceptualism and refuse to embrace web2 pragmatism may miss the next AI Agent trend.
In short, the new momentum of the next AI Agent wave is brewing, but it will no longer be in the past posture of pure narrative and concept hype. It must be supported by pragmatism and application landing.
