<ul><li>Anthropic’s model context protocol (MCP) has quickly become crucial in agentic AI, impacting data systems globally.</li><li>The intersection of web3 and MCP is explored regarding agentic applications.</li><li>MCP and Web3 redefine trust, ownership, and decentralized computation, creating context-rich ecosystems.</li><li>MCP acts as a universal connector for intelligent agents to interact with external data and systems.</li><li>MCP adopts a client-server model, ensuring security through capability declarations and local execution defaults.</li><li>MCP's universality allows AI models to carry context across platforms for seamless interaction.</li><li>In a Web3 context, treating DApps as MCP servers and clients enables dynamic architectures.</li><li>MCP enables peer-to-peer knowledge sharing in a decentralized mesh, enhancing Web3 services.</li><li>MCP paves the way for composable, AI-native ecosystems in Web3 with enhanced personalization and multi-agent coordination.</li><li>Blockchains provide trust, time, ordering, and incentives crucial for decentralized intelligence and coordination in MCP-native services.</li></ul>

The Intriguing Thesis of Decentralized Context as the New API: Reimagining Web3 with MCP

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