MCP (Meta Context Protocol), as an emerging interaction protocol, aims to reach transparent connectivity between AI and applications, providing AI agents with standardized interfaces to call external functions and data. In this area, Lumoz, as an important engine and leader in web infrastructure innovation, took the initiative to shape the MCP ecosystem. Currently, Lumoz has successfully launched the MCP server, and users can now know the innovative interaction capacities provided by this advanced technology via Claude Desktop. In the future, Lumoz will continue to expand the limits of MCP applications, launching more IA products rich in functionalities and of high quality and more manager the new direction of collaborative AI and Web3 evolution.
Background
Web3, the next generation of the internet led by the blockchain, transforms the digital ecosystem with decentralization to its heart. Although smart contracts are a powerful functionality of web3, ordinary users are faced with many barriers when you try to get involved with it. The complexity of technology is the first challenge, with dark technical terms such as portfolio management, signature transactions and gas costs calculations creating a wall difficult to overcome for non -technical users.
At the same time, the rapid development of artificial intelligence (AI), in particular the breakthrough in models of large languages (LLM) in the recognition of intention and understanding of the context, opened unprecedented possibilities for inter-domain interactions. However, before the advent of MCP, the main AI functions were concentrated in the generation of content and could not carry out tasks directly according to user intention. It mainly served as a assistance tool.
The emergence of MCP has completely changed this situation. It allows AI to manage various types of data and applications in a flexible way. The integration of MCP with web3 gives AI the ability to carry out complex operations on the chain, allowing ordinary users to simply make requests, and AI can transparently manage logic and complex operations behind the scenes, which considerably reduces barriers to the use of web3. The introduction of MCP has brought a qualitative leap to the development of AI and has opened new possibilities to extend the web 3 ecosystem.
MCP protocol
MCP (Model Context Protocol) is an open standard introduced by Anthropic at the end of November 2024. Its main objective is to allow AI agents to understand with precision the intention of the user and to call the corresponding application functions.
The two key points of MCP are:
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Recognition of intention: rely on the capacities of understanding the natural language of large languages models to interpret the needs of users.
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Invocation of applications: requiring applications to provide standardized functional interfaces so that AI agents can call.
MCP disputes the AI calculation capacities from applications for execution of applications thanks to a standardized protocol design, allowing multiplatform collaboration and cross -application. The MCP protocol, developed by Anthropic, attracted wide attention. Its simple design based on JSON-RPC 2.0 supports bidirectional communication and rich contextual interaction, providing a “USB-C” universal interface to connect AI with external systems.
** Central components of the MCP protocol
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HOST MCP: Any application that wishes to interact with local or internet data via the MCP protocol, such as an LLM or AI model in locally execution.
- MCP client: a program used to interact with the MCP protocol.
- MCP Server: A program used to interact with local data or Internet data.
Deep integration of MCP and web3
The MCP protocol provides an achievable solution for the integration of AI and web3 through standardized interfaces and decentralized contracts.
1. Standardized interfaces and intention of intention
- Unified interaction standards
MCP establishes a unified standard for interactions between AI and various web 3 applications via standardized interfaces. This allows the AI to interact transparently with the DAPPs, intelligent contracts and data services on different blockchains without needing to redevelop and adapt the interfaces for each specific application.
- Precise recognition of the intention
With the powerful natural language treatment capacities of large language models (LLMS), MCP can interpret with precision the needs and intentions expressed by web3 users in natural language. On the basis of these recognized intentions, the AI can call corresponding intelligent contracts and other functions via standardized interfaces, automating the entire process without obliging users to manually operate complex transaction interfaces or to fill complex transaction parameters.
2. Stable invocation of decentralized contracts
- Guarantee of reliability of intelligent contracts
In web3, smart contracts are main components for decentralized applications, and once deployed, they have a deterministic immutability and execution. The integration of MCP with intelligent contracts ensures that the invocation by the AI of intelligent contracts is very stable and reliable.
- Operational transparency and traceability
The decentralized nature of the blockchain guarantees the immutability and transparency of transaction records, ensuring that all the operations carried out by AI when calling intelligent contracts to execute transactions are traceable and secured by the consensual mechanism of the blockchain network. Each transaction made via the MCP invocation of an intelligent contract will leave a permanent file on the blockchain, allowing users to question and check the state of the execution of transactions at any time, guaranteeing the safety of assets and operational transparency.
3. Evolution of the decentralized ecosystem
- Transversal operations and integration of ecosystems
MCP offers AI the ability to cross different blockchain ecosystems. Web3 is a multi-chain ecosystem where different blockchain networks focus on variable functionality, performance and use cases. MCP incorporates these multi-chain resources, allowing AI to freely invoke smart contracts and data services on different blockchains, facilitating transversal operations.
- Developers' innovation and ecosystem expansion
The open level of MCP offers developers a large space for innovation, which stimulates the expansion of the entire web 3 ecosystem. Developers can create a variety of new AI, DAPPS services and MCP -based intelligent contract plugins, enriching the ecosystem of the web3 application.
LUMOZ MCP: Innovation in Web3 and IA Practice
Lumoz, one of the main web3 infrastructure providers, is dedicated to the construction of an effective decentralized computer network that supports the integration of blockchain and AI. The LUMOZ network provides high performance calculation and storage support for web3 applications via modular design and zero knowledge proof technology (ZKP). In the field of MCP, Lumoz has taken an important step with the release of Lumoz MCP, its first MCP server.
Developed using the standard MCP protocol, LUMOZ MCP allows users to interact with intelligent contracts from LUMOZ NETWORK and data resources via natural language commands. For example, users can question the asset sales of the Lumoz chain, display verifiable node data and access other information related to the Lumoz chain. This feature benefits from Lumoz's high performance computing capacities and standardized MCP interfaces, providing a stable and open platform for AI agents in web3 applications. Users can experience this feature via Claude Desktop.
The exploration of Lumoz shows not only the potential for the application of MCP in web3, but also lays the basics of the publication of future AI products.
** Live demo: \
Perspectives: the web 3 ecosystem piloted by Lumoz and MCP
The integration of MCP and Web3 opens up great opportunities for decentralized AI AID applications. In the future, we can expect the following developments:
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Generalized use of transversal AI agents: by taking charge of multi-chained contract calls, MCP allows the creation of multi-chaînes agents.
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Intelligence in decentralized applications: MCP can integrate AI decision -making capacities into decentralized applications, improving user experiences. Lumoz's high performance computer network will provide solid support to these smart applications.
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Collaborative innovation in open source ecosystems: open source nature of web3 will stimulate the community development of the MCP protocol. The MCP server of Lumoz has already drawn the attention of the first developers, and the expansion of its ecosystem will further accelerate the integration of AI and Web3.
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Revolutioning the user experience: the ultimate MCP and Lumoz objective is to reduce entry barriers for the use of web3. With the interaction of natural language, users can engage with decentralized applications without needing to understand complex blockchain concepts. This will really realize the vision of “the next generation of the Internet”.
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The vision of the AI product of Lumoz: the first MCP server in Lumoz is only the start of its AI strategy. In the future, Lumoz plans to launch more IA products rich in functionality, including AI agents capable of more complex intention recognition. These products will fully use the Lumoz computer network and standardized MCP interfaces, offering users and developers a web3 + AI all-in-one solution.
Conclusion
The integration of MCP and web3 opens up new possibilities for decentralized AI AI applications. MCP allows cross -collaboration for AI agents via standardized interfaces and smart contract calls. Lumoz's first MCP server shows MCP's practical potential in web3, and thanks to its integration with Claude Desktop, users can now undergo operations on the natural language chain.
In the future, Lumoz exploration of MCP and the next AI products will further promote the general use of transversal AI agents, the intelligence of decentralized applications and a revolution in the user experience. In the midst of the wave of convergence between AI and Blockchain technologies, the collaborative innovation of MCP and Lumoz will become an essential bridge connecting users, applications and the future, helping the web 3 ecosystem to evolve towards a new, more open and user -friendly ERA.
