Introduction
Last updated
Last updated
MCP3 (Model Context Protocol v3) is a framework that combines Large Language Models (LLMs) and Web3 technologies to enable context-aware, decentralized, and user-sovereign AI interactions.
Traditional AI systems rely on static prompts and closed contexts. MCP3 introduces a dynamic protocol layer that lets LLMs access user-specific, verifiable, and permissioned context from decentralized Web3 infrastructures like wallets, smart contracts, DAOs, and on-chain activity.
MCP3 standardizes how context is modeled, shared, and secured between decentralized identity systems and AI models, making intelligent agents more capable and aligned with user intent, preferences, and permissions.
Create a decentralized protocol layer that enables AI models to reason and operate with verifiable context, while preserving user autonomy, data privacy, and composability across the Web3 ecosystem.
Define an open, interoperable Model Context Protocol (MCP) that bridges LLMs and Web3 environments.
Empower AI models to utilize decentralized identifiers (DIDs), smart contracts, and cryptographic proofs for secure context resolution.
Promote applications where AI agents are first-class citizens in Web3: participating in DAOs, reading on-chain data, and assisting users contextually.
Web3 Developers & Smart Contract Engineers
AI/ML Engineers working with LLMs
Decentralized Identity & ZK Tech Builders
DAO Architects and Protocol Designers
Researchers in Semantic AI, Contextual AI, and Decentralized Intelligence
Open-source LLMs and modular blockchains create the perfect storm for context-aware intelligent agents. However, context is still fragmented, proprietary, and ephemeral.
MCP3 solves this by establishing a standardized, modular, and secure way for AI systems to discover, negotiate, and utilize user context in a decentralized manner, ensuring trust, transparency, and traceability at the protocol level.
