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MCP protocol empowers AI Agent: Creating a new paradigm for Web3 intelligent applications
MCP and AI Agent: A New Paradigm for Artificial Intelligence Applications
Introduction to MCP Concept
In the field of artificial intelligence, traditional chatbots often lack personalization and proactivity. To address this issue, developers have introduced the concept of "character setting," giving AI specific roles and personalities. However, this still hasn't resolved the limitations of AI's passive responses. Subsequently, the Auto-GPT project emerged, allowing AI to proactively execute tasks. Nevertheless, Auto-GPT still faces challenges in tool invocation and cross-platform compatibility.
In response to these issues, the Model Context Protocol (MCP) has emerged. MCP aims to simplify the interaction between AI and external tools, providing a unified communication standard. This significantly reduces development difficulty and time costs, enabling AI to interact more efficiently with external tools.
Collaboration between MCP and AI Agent
MCP and AI Agent complement each other. The AI Agent focuses on blockchain operations, smart contract execution, and cryptocurrency asset management, while MCP aims to simplify the interaction between the AI Agent and external systems, enhancing cross-platform interoperability.
MCP provides a unified communication standard for AI Agents, enabling them to seamlessly connect with multi-chain data and tools, significantly enhancing autonomous execution capabilities. For example, AI Agents in the DeFi sector can obtain market data in real time through MCP, automatically optimizing their portfolios. Furthermore, MCP opens new avenues for collaboration among multiple AI Agents, such as completing complex tasks according to functional division, thereby improving overall efficiency.
Overview of Related Projects
DeMCP: Decentralized MCP network, providing self-developed open-source MCP services for AI Agents, supporting one-stop access for mainstream large language models.
DARK: The trusted execution environment MCP network built on Solana is developing its first application, aimed at providing efficient tool integration capabilities for AI Agents.
Cookie.fun: A platform focused on AI Agents within the Web3 ecosystem, providing comprehensive AI Agent indexes and analytical tools. The latest version has launched a dedicated MCP server designed for developers and non-technical users.
SkyAI: A Web3 data infrastructure project built on the BNB Chain, which constructs a blockchain-native AI infrastructure by expanding MCP. Currently supports aggregated datasets from BNB Chain and Solana, and will support Ethereum mainnet and Base chain in the future.
Future Outlook
The MCP protocol demonstrates great potential in the integration of AI and blockchain, particularly in enhancing data interaction efficiency, reducing development costs, and improving security. However, most current MCP projects are still in the proof-of-concept stage, facing challenges such as long product development cycles and limited practical application.
Nevertheless, the MCP protocol is still expected to achieve widespread application in areas such as DeFi and DAOs. In the future, AI agents may use the MCP protocol to access on-chain data in real-time, execute automated transactions, and enhance the efficiency of market analysis. The decentralized characteristics of the MCP protocol are also expected to provide a transparent and traceable operating platform for AI models, promoting the decentralization process of AI assets.
However, to achieve this vision, challenges in various aspects such as technical integration, security, and user experience still need to be addressed. As technology continues to mature and application scenarios expand, the MCP protocol is expected to become an important engine driving the development of the next generation of AI Agents.