The Decentralized Payment Gateway & Incentive Protocol Powering the MCP Ecosystem onMorphMorph.
Solving key challenges for Model Context Protocol (MCP) development: providing sustainable monetization for developers and seamless integration between MCP services and AI Agents. Build, deploy, and monetize your MCP services, or discover and integrate powerful AI tools for your Agents.
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/ Feature

Core Components Driving
the MCP Economy

MCP Developer
Toolkit

SDK
API
Dashboard
Simplify building, deploying, and integrating your MCP services with MuxyAI. Includes standardized APIs/SDKs, deployment templates, agent integration libraries, and a monitoring dashboard.

On-Chain Incentive
Mechanism

Reworded
Staking
Get rewarded for providing valuable and reliable MCP services. Earn protocol tokens based on usage volume, uptime, quality metrics, and more, turning your MCP server from a cost center into a revenue stream. Optional staking mechanisms enhance service reliability.

MCP
Launchpad

Liquidity
Ecosystem
Accelerate your early-stage MCP project. Access funding, community building, and initial liquidity through a fair launch platform designed specifically for the MCP ecosystem.

MuxyAI Protocol
Token

Voting
Platform
The heart of the ecosystem. Used for governance voting, platform liquidity, paying for MCP services, and accessing premium features.

A Robust, Layered Foundation for Decentralized AI

MuxyAI utilizes a modular architecture built for scalability and security on the Morph blockchain.

End Users
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AI Agent Developers
MCP Developers

Application Layer

AI Agents and MCP Servers interacting seamlessly through MuxyAI's tools.  

MCP Server
AI Agents

Service Layer

Off-chain toolkits, discovery services, and dashboards connecting the protocol to users and developers.

MCP Developer Toolkit

Core Protocol Layer

Smart contracts on Morph managing registries, incentives, payments, governance, and the Launchpad.

Launchpad
Payment

Blockchain Layer

Morph (Optimistic zkEVM) providing the secure, scalable, and EVM-compatible foundation.

Morph Chain

/ MPC Server

Discover & Contribute MCPs

Github

Github

Created By modelcontextprotocol

Repository management, file operations, and GitHub API integration
#github
#repository-management
EdgeOne Pages MCP

EdgeOne Pages MCP

Created By TencentEdgeOne

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
#MCP
MiniMax MCP

MiniMax MCP

Created By MiniMax-AI

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
#text-to-speech
Sequential Thinking

Sequential Thinking

Created By modelcontextprotocol

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
#sequentialthinking
#problem-solving
Redis

Redis

Created By modelcontextprotocol

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
#redis
#database
MiniMax MCP

MiniMax MCP

Created By microsoft

Playwright MCP server
#mcp
#playwright

/ Why Morph

Morph - The Ideal Foundation for AI Infrastructure

Low Cost & High Throughput

Enables frequent, low-value Agent-MCP interactions economically viable.

Fast Transactions & Finality

Responsive Validity Proofs and a decentralized sequencer network ensure quick settlements and reliability.

Robust Security

Built on Ethereum's security with Morph's enhancements, including future ZK-proof potential.

Developer-Friendly

Full EVM compatibility allows easy development using familiar tools like Solidity.

Strategic Alignment

Positioned for consumer-facing and value-driven applications, perfect for the next generation of AI.

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5K+

A Fast-Growing
Global Community

Join a fast-growing community of developers and innovators connected all over the world, building the new era of the internet.

Join Community
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/ FAQ

Your Most Common
Questions Answered

What is Model Context Protocol (MCP)?

Model Context Protocol (MCP) refers to a system or protocol designed to manage and provide relevant context for AI models. This is particularly important when multiple AI agents collaborate or when complex tasks require access to external tools and knowledge bases. MCP helps manage context related to specialized skills or knowledge to solve complex problems beyond the scope of a single agent.

What problems does MuxyAI solve?

MuxyAI addresses key challenges hindering the growth of MCP. These include the lack of sustainable monetization models for MCP developers and the often complex and non-standardized integration process between MCP services and AI Agents. These issues slow down the development of more advanced AI Agent capabilities.

How does MuxyAI incentivize MCP developers?

MuxyAI features an on-chain incentive mechanism that directly rewards the provision of valuable MCP services. MCP providers can earn MuxyAI protocol tokens based on metrics like verified service call volume, uptime, and potentially other quality indicators. This aims to create a direct revenue stream and make building and maintaining high-quality MCPs economically viable. Optional staking/bonding mechanisms may also be used to enhance service reliability.

What are the core features of MuxyAI?

MuxyAI offers a suite of core components including:

  • A toolkit for MCP developers to simplify building, deploying, and integration.
  • An on-chain incentive mechanism rewarding interactions between AI Agents and MCPs.
  • A Launchpad platform focused on helping early-stage MCP projects.
  • A payment gateway function for transactions between Agents and MCPs.

What is the MuxyAI token used for?

The protocol token is central to the MuxyAI ecosystem. Its primary roles include:

  • Governance: Token holders can vote on protocol parameters and upgrades.
  • Liquidity: Providing liquidity for the platform and potentially as the core pairing asset for new MCP tokens launched via the Launchpad.
  • Payments: Acting as the main currency for paying for MCP services and accessing premium features.
  • Staking: Potentially required for MCP providers as a quality bond.

What specific components are included in the MuxyAI MCP Toolkit?

The toolkit is designed to simplify MCP development and integration. Key components mentioned include:

  • Standardized APIs/SDKs for popular languages (like Python, JavaScript) to help developers register services and handle payments/incentives.
  • Deployment Templates (e.g., Docker containers) for easier deployment of MuxyAI-compatible MCP servers.
  • Agent Integration Libraries to help Agent developers discover MCPs, initiate calls, and manage payments.
  • A Monitoring & Analytics Dashboard for MCP providers to track metrics like service calls, revenue, uptime, etc..

What kinds of strategic partnerships is MuxyAI seeking?

MuxyAI aims to collaborate with various entities to accelerate growth:

  • AI Agent Platforms/Frameworks (e.g., LangChain, LlamaIndex) for direct integration.
  • Existing MCP Projects to bring their services into the MuxyAI ecosystem.
  • Data & Tool Providers (e.g., financial data APIs) to package their services as MCPs.
  • Morph Ecosystem Projects (DEXs, wallets, identity solutions) for enhanced functionality.
  • Research Institutions working on multi-agent systems or AI economics.

A Thriving Ecosystem
Needs You

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The Decentralized Payment Gateway & Incentive Protocol Powering the MCP Ecosystem onMorphMorph.

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