🎉 Gate xStocks Trading is Now Live! Spot, Futures, and Alpha Zone – All Open!
📝 Share your trading experience or screenshots on Gate Square to unlock $1,000 rewards!
🎁 5 top Square creators * $100 Futures Voucher
🎉 Share your post on X – Top 10 posts by views * extra $50
How to Participate:
1️⃣ Follow Gate_Square
2️⃣ Make an original post (at least 20 words) with #Gate xStocks Trading Share#
3️⃣ If you share on Twitter, submit post link here: https://www.gate.com/questionnaire/6854
Note: You may submit the form multiple times. More posts, higher chances to win!
📅 July 3, 7:00 – July 9,
MCP: The Key Infrastructure for Empowering Web3 AI Agents
MCP: The Key Technology for Advancing the Next Generation of Web3 AI Agents
MCP (Model Context Protocol) is rapidly 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 originated in the Web2 AI field and is now being reimagined and applied in the Web3 environment.
MCP Overview
MCP is an open protocol aimed at standardizing the way applications convey contextual information to large language models (LLMs). This allows for more seamless collaboration between tools, data, and AI Agents.
The importance of ### MCP
Current large language models face several core limitations:
MCP serves as a universal interface layer, filling these capability gaps and 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 is beneficial for both AI Agents (clients) and tool developers (servers):
The end result is a more open, interoperable, and low-friction AI ecosystem.
The difference between MCP and traditional APIs
The design of APIs is primarily aimed at humans rather than being AI-first. Each API has its own structure and documentation, and developers must manually specify parameters and read the interface documentation. The AI Agent itself cannot read the documentation and must be hard-coded to adapt to each API.
MCP abstracts these unstructured parts by standardizing the function call format within the API, providing a unified calling method for Agents. MCP can be seen as an API adaptation layer encapsulated for autonomous Agents.
Web3 AI and MCP Ecosystem
AI in Web3 also faces the issues of "lack of contextual data" and "data silos." AI cannot access on-chain real-time data or natively execute smart contract logic. A new generation of AI Agent infrastructure and applications based on MCP and A2A protocols is emerging, designed specifically for the Web3 scenario, allowing Agents to access multi-chain data and natively interact with DeFi protocols.
Project Case
DeMCP
DeMCP is a marketplace for decentralized MCP Servers, focusing on native cryptographic tools and ensuring the sovereignty of MCP tools. Its advantages include:
DeepCore
DeepCore provides an MCP Server registration system, focusing on the cryptocurrency sector, and further expands to another open standard proposed by Google: 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 short:
The Combination of MCP Servers and Blockchain
The MCP Server integrates blockchain technology, which has multiple benefits:
Future Trends and Industry Impact
With the maturity of infrastructure, the competitive advantage of "developer-first" companies will shift from API design to providing a richer, more diverse, and easily combinable toolkit.
In the future, every application could become an MCP client, and every API could be an MCP server. This may give rise to new pricing mechanisms: Agents could dynamically select tools based on execution speed, cost efficiency, relevance, etc., forming a more efficient Agent service economy empowered by cryptocurrency and blockchain.
The true value and potential of MCP can only be truly seen when AI Agents integrate it and transform it into practical applications. Ultimately, Agents are the carriers and amplifiers of MCP's capabilities, while blockchain and cryptographic mechanisms build a trustworthy, efficient, and composable economic system for this intelligent network.