MAE, seychellles, May 09, 2025 (Globe Newswire) – Bitmart Research, The Research Arm of Point exchangeIt issued a detailed report on the innovative MCP+AI framework, a new model for artificial intelligence applications. This report turns into developments in the context of the context of the context of the model (MCP), its integration with encrypted artificial intelligence agents, the transformation effect on Blockchain automation, decentralized applications, and the inter -operational operation of death. The results highlight the capabilities of this framework to enhance the capabilities of artificial intelligence, simplify complex integration, and push the future of artificial intelligence in the Blocchain ecosystem.
1. Introduction to the concept of MCP
In the field of artificial intelligence, the traditional Chatbots has long relied on the general dialogue models that lack the personal settings, which led to monotonous and unborn responses. To address this restriction, developers presented the concept of “Persona” – granting artificial intelligence with specific roles, characters and speech patterns to fit better with user expectations. However, even with well -specific characters, these regimes remained negative respondents unable to perform tasks in a proactive manner or deal with complex operations. This led to the emergence of the open project of the automatic project, which enables developers to determine a set of tools and functions for artificial intelligence systems. By registering these tools within the frame, Auto-GPT can create operational orders based on pre-defined rules and resources when processing user requests, carrying out the tasks independently and re-results. This progress turns artificial intelligence from negative conversation factors into proactive systems directed towards the task.
Although Auto-GPT has advanced in enabling independent artificial intelligence, challenges have continued with regard to unwanted protest formats for tools and poor compatibility on platforms. The McP context protocol (MCP) has been developed to address these basic challenges in developing artificial intelligence, especially the complexity of the integration of external tools. The main goal of MCP is to simplify AI tools with uniform communication protocols, allowing smooth integration of various external services. Traditionally, the implementation of complex functions such as weather information or access to the web in large language models requires wide documents for coding and allocated documentation – a process that has increased significantly the complexity of development and investment at time. MCP mainly simplifies this process by creating uniform facades and communication specifications, allowing artificial intelligence models to interact with external tools more efficiently and effectively.
2. MCP and AI agent integration
MCP and artificial intelligence agents are involved in a complementary relationship, with their main distinction in their concentration. Artificial intelligence agents focus primarily on Blockchain Automation, the implementation of the smart nodes, and the management of encryption assets, focusing on privacy protection and integration with decentralized applications. On the contrary, MCP gives priority to simplify interactions between artificial intelligence factors and external systems through standard protocols and context management, and enhances the ability to operate and flexibility across the basic systems. By taking advantage of the MCP protocol, artificial intelligence agents can achieve more efficient integration and processes, thus enhancing their implementation capabilities.
Artificial intelligence agents of the previous generation have basic operational capabilities such as implementing transactions through smart contracts and portfolio management. However, these jobs were pre -defined, lacking flexibility and adaptation. MCP’s basic value is to set unified communication criteria for interactions between artificial intelligence agents and external tools-including Blockchain data, smart contracts and services outside the chain. This straining addresses the challenges of traditional development to break up the interface, allowing the artificial intelligence agent to smoothly integrate with data and multi -exploitation tools while significantly enhancing the capabilities of independent implementation. For example, delegations focusing on Defi who use MCP can access market data in actual time and automatically improve investment portfolios. Moreover, MCP opens new cooperative capabilities: through MCP, multi -curators can cooperate through career specialization, combining capabilities to complete complex tasks such as data analysis on the chain, market prediction, risk management, thus improving overall and reliable efficiency. For chain automation to automate the chain, MCP organizes many trading agents and risk monitoring to address issues such as slipping, friction of transactions, and MEV (the value -extracted value from miners), allowing management of the safer and most efficient assets on the chain.
3. Related projects
1.DEMCP
DEMCP is the decentralized MCP network. It aims to provide open source MCP services developed for AI, providing developers with a pading platform to exchange commercial revenue for MCP, and enable access to the prevailing large language models (LLMS). Developers can obtain services through Stablecoin (USDT, USDC) payments. As of May 8, DMCP has a market value of about $ 1.62 million.
2.Dark
Dark is a MCP network that works within reliable implementation environments (TEE), based on Solana Blockchain. The distinctive code is listed on Binance Alpha, with a market capitalization of about $ 118.1 million as of May 8. Currently, the first DARK application is developed, designed to enable artificial intelligence agents with the potential to integrate effective tools through TE and MCP protocol, and developers office to communicate quickly with various tools and external services through simple configurations. Although the product has not been fully launched yet, users can join the early arrival stage through the e -mail waiting menu to participate in the test and make notes.
3.cookie.fun
Cookie. The statute helps users to understand and evaluate the performance of various artificial intelligence agents by displaying measures such as cognitive impact, adaptive intelligence capabilities, user participation, and data on the chain. On April 24, the Cookie.API 1.0 McPe Service has provided a dedicated infrastructure with a special infrastructure, designed for both developers and non -technical users with no need for configuration.
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4.Skyai
Skyai is the WEB3 data infrastructure project based on the BNB series, with the aim of creating Amnesty International Intelligence Infrastructure by expanding the MCP (model context protocol). The articles of association provides developable and interferable data -based data protocols, and plans to simplify development processes by integrating access to multiple data, publishing artificial intelligence agent and facilities at the level of the protocol, thus advancing practical dependence on artificial intelligence in Blockchain environments. Currently, Skyai supports collections collected data from BNB Chain and Solana, which exceeds 10 billion rows of data, with future plans to launch MCP data servers that support Ethereum Mainnet and the foundation chain. The distinctive symbol Skyai is included on Binance Alpha, where the market value carries about $ 42.7 million as of May 8.
4. Development
The MCP protocol, as an emerging narration in the rapprochement of artificial intelligence and Blockchain, explains great potential in enhancing the efficiency of data interaction, reducing development costs, enhancing security and privacy protection – especially in decentral financing (Defi) and similar scenarios where it maintains extensive application possibilities. However, most of the current MCP projects are still in the proof of concept, and mature products have not yet been launched. This lack of maturity led to a continuous decrease in the distinctive code prices after the inclusion, represented by the DEMCP code, which decreased by 74 % within a month of its first appearance. This trend reflects the market confidence crisis in MCP initiatives, which stems mainly from lengthy development courses and the absence of concrete realistic world applications. Thus, accelerating the development of products, ensuring a narrow compatibility between symbols and job products, and improving the user experience, important challenges for MCP projects. In addition, the promotion of the MCP protocol within the environmental encryption system faces the obstacles to technical integration. The logic of the smart nodes and data structures via Blockchains and DAPPS require significant development resources to create a unified and united MCP server.
Despite these challenges, the MCP protocol retains the large market capabilities. As artificial intelligence technology and the ripening of the protocol can enable broader applications in areas such as Defi and Daos. For example, the artificial intelligence agent can take advantage of the MCP access to the actual time data on the chain to implement automatic transactions, enhance the efficiency of market analysis and accuracy. Moreover, MCP’s decentralized nature may provide Amnesty International models with transparent operational frameworks, which enhance decentralization and the connection of artificial intelligence resources. The MCP protocol as a major AI-Blockchain integration engine, the MCP protocol can develop into a vital engine that expands artificial intelligence factors of artificial intelligence from the next generation with technology maturity and expansion of use. However, realizing this vision requires overcoming multi -faceted challenges including technical integration, security guarantee and improving user experience.
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