Why do I assert that the next AI Agent wave will definitely be based on MCP+A2A and other web2 AI standard protocols? The logic is simple:
1) The dilemma of web3 AI Agents lies in excessive conceptualization, with narrative overshadowing practicality. While discussing grand visions of decentralized platforms and user data sovereignty, the actual product application's user experience 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 stems 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,
such as: users directly using Claude to control Blender for 3D model creation, UI/UX professionals generating complete Figma design files with natural language, and programmers using Cursor to comprehensively complete code writing, supplementation, and Git submissions.
3) Previously, everyone expected web3 AI Agents to have innovative applications in DeFai and GameFai vertical scenarios, but in reality, many such applications are still stuck at the "showing off skills" level of 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 example, letting an analysis Agent read on-chain data, analyze market trends, and link with other predictive 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 web3's next-generation 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 still clinging to web3 pure conceptualism and refusing to embrace web2 pragmatism may miss the next AI Agent trend.
In short, the next wave of AI Agents is brewing, but it will no longer be a purely narrative-driven conceptual approach, and must be supported by pragmatism and application landing.
