ETMCP
  • Getting Started
    • What is MCP?
    • Introduction to ETMCP
  • Agent System
    • Agent Design
    • Missions
  • Incentive Mechanism
  • Technology
    • MCP Technology
    • System Architecture
  • Service List
  • LLM Pricing
  • Future
    • Roadmap
    • Tokenomics and Utility
    • Community
    • FAQ
  • Bonus Programs
    • Referral System
  • API
    • Getting Started (Developer Guide)
  • LEGAL
    • Legal & Licensing
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  1. Getting Started

Introduction to ETMCP

PreviousWhat is MCP?NextAgent Design

Last updated 1 day ago

ETMCP (Ethereum Model Context Protocol) is a decentralized coordination layer built on Ethereum that enables AI agents to run securely, contextually, and verifiably across Web3 systems.

Working with AI services like Large Language Models (LLMs) can be a total pain for users. It’s often a struggle to spell out exactly what’s needed, whether it’s something simple or a bit more tricky, and getting the point across just isn’t as easy as it should be. To make matters worse, responses can take forever to arrive, which ends up costing an arm and a leg. And even after all that, the results can be a letdown, think code that crashes and burns, info that seems sketchy or flat-out wrong, or data so outdated it’s basically useless since it’s not real-time...

ETMCP builds on the Model Context Protocol (MCP) to zero in on orchestrating context. Basically, all the key details tied to each task, like what the user’s asking for, the agent’s goals, data access rules, execution guidelines, and how the model should interact. This setup makes sure every agent action isn’t just carried out but is also clear, understandable, and easy to verify.

ETMCP is designed to bridge three key elements:

  • Ethereum smart contracts as immutable, programmable trust layers

  • AI Agents that interpret, reason, and act based on contextual data

  • Secure execution environments that preserve integrity and confidentiality (via TEE or zk)