Dynamic Protocol Mcp

protocol architecture

Dynamic, as the largest AI Agent application building platform in WEB3, is upgraded to support the MCP protocol to access MCPServer, which provides convenient access to the massive tools of the MCP ecosystem and accelerates the process of building large model applications.

Dynamic's Positioning & Advantages

We focus on building Web3-native solutions through distributed system architecture and incentive models to create differentiated advantages:

1. Rapid Integration: Seamlessly connect to MCP services from third-party platforms like CoinMarketCap (CMC) and CoinGecko;

2. Protocol Standardization: Package Dynamic interfaces as high-availability MCP services for external platform adoption.

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MCP Technical Details

1

Definition: MCP (Model Context Protocol), proposed by Anthropic in 2024, is an open protocol designed to standardize interactions between AI Agents and external data/tools;

2

Core Value: Provides a unified interface (USB-C analogy) to eliminate data silos and simplify AI agent-service connectivity;

3

Innovation: Replaces traditional end-to-end custom encapsulation, becoming the key standard for Web3 AI Agent evolution.

II.Why DeepCore Bets on MCP Protocol

1. Solving Data & Platform Integration Challenges

Industry Pain Points: Early Web3 AI frameworks(e.g., #AI16Z, #ARC, #Swarms) require custom APIs per data source, leading to plugin bloat and real-time data isolation, They mimicked Web2 giants’ resource monopoly models, relying on superficial narratives like “multi-agent collaboration + Tokenomics” while ignoring Web3-native architecture. True breakthroughs require:

• Protocol-layer innovation: Decentralized data interaction standards beyond Web2-style deployment;

• Deep research capabilities: Enabling AI agents to understand on-chain complexities (e.g., MEV hunting, cross-chain arbitrage).

Dynamic Solution:

• Reduce M×N integration complexity (M clients × N data sources) to M+N via MCP protocol;

• nable plug-and-play connectivity between AI agents and data sources using JSON-RPC client-server architecture (similar to USB-C adapters);

• Support dynamic data access, significantly improving efficiency in automation, real-time queries, and cross-platform collaboration.