MCP: The Key Technology for Promoting Web3 AI Agent Development

MCP is becoming a core component of the Web3 AI Agent ecosystem. It introduces the MCP Server through a plugin-like architecture, providing new tools and capabilities for AI Agents. MCP stands for Model Context Protocol, originating from the Web2 AI domain and is now being redefined in the Web3 environment.

Definition and Importance of MCP

MCP is an open protocol for standardizing the way applications convey context information to large language models (LLMs). It enables tools, data, and AI Agents to collaborate more seamlessly.

The importance of MCP lies in addressing several core limitations faced by current large language models:

1. Unable to browse the internet in real time
2. Cannot directly access local or private files
3. Unable to independently interact with external software

By acting as a universal interface layer, MCP fills these capability gaps, enabling AI Agents to utilize various tools.

MCP can be likened to a unified interface standard in the field of AI applications, making it easier for AI to connect with various data sources and functional modules. This standardized protocol benefits both AI agents and tool developers:

• AI Agent can securely connect to external tools and real-time data sources.
• Tool developers only need to connect once to use it across platforms.

Ultimately, a more open, interoperable, and low-friction AI ecosystem will be formed.

Differences Between MCP and Traditional API

The design of MCP is AI-first, rather than serving humans. It standardizes the function call format within the API, abstracting away the unstructured parts to provide a unified calling method for Agents. MCP can be seen as the API adaptation layer for Autonomous Agents.

Web3 AI and the Ecological Landscape of MCP

AI in Web3 also faces the problems of "lack of contextual data" and "data islands." A new generation of AI agent infrastructure and applications based on MCP and A2A protocols is emerging, specifically designed for Web3 scenarios, allowing agents to access multi-chain data and natively interact with DeFi protocols.

Project Cases

DeMCP

DeMCP is a decentralized MCP Server marketplace that focuses on native encryption tools and ensuring the sovereignty of MCP tools. Its advantages include:

• Use TEE (Trusted Execution Environment) to ensure that the MCP tool has not been tampered with.
• Use token incentive mechanisms to encourage developers to contribute to the MCP server.
• Provide MCP aggregator and micropayment functions to lower the usage threshold.

DeepCore

DeepCore provides an MCP Server registration system, focusing on the encryption field and expanding into the A2A (Agent-to-Agent) protocol.

A2A is an open protocol designed to enable secure communication, collaboration, and task coordination between different AI agents. It supports enterprise-level AI collaboration, allowing AI agents from different companies to work together on tasks.

In brief:

• MCP provides agents with tool access capabilities
• A2A provides Agents with the ability to collaborate with each other.

The Combination of MCP Server and Blockchain

The MCP Server integration of blockchain technology has many benefits:

1. Obtain long-tail data through a cryptocurrency native incentive mechanism.
2. Defending against "tool poisoning" attacks
3. Introduce a staking/penalty mechanism to build the trust system of the MCP server.
4. Enhance system fault tolerance and real-time performance
5. Promote Open Source Innovation

Future Trends and Industry Impact

More and more people in the cryptocurrency industry are beginning to recognize the potential of MCP in connecting AI and blockchain. In the future, the competitive advantage of developer companies will shift from API design to offering a richer, more diverse, and easily combinable toolkit.

Every application could become an MCP client, and every API could be an MCP server. This may give rise to new pricing mechanisms: Agents dynamically select tools based on execution speed, cost efficiency, relevance, etc., forming a more efficient Agent service economy empowered by Crypto and blockchain.

As the underlying protocol layer, the true value and potential of MCP need to be integrated and transformed into practical applications by AI Agents. Ultimately, the Agent is the carrier and amplifier of MCP's capabilities, while blockchain and encryption mechanisms build a credible, efficient, and composable economic system for this intelligent network.