AMA Highlights: How Blockchain MCP Makes Development Easier, Even for Those Without Development Experience? - Nodit

AI Agent and on-chain multi-chain data integration is an important trend accelerating the development of crypto applications in the AI era. Nodit and the MCP project representatives shared during this AMA how to lower the development threshold and create on-chain application scenarios through MCP (Model Context Protocol), and discussed the innovative opportunities that the fusion of AI and on-chain data will bring. (Background: Crypto market warming up: Solana's development enters a new stage, MCP becomes a new hotspot in the AI track.) (Background supplement: OpenAI announces a significant move: opening Agents SDK to support MCP, linking everything one crucial step further.) In late June, a Space event will be held by Dongqu in which the theme is "Nodit, providing innovative MCP for multi-chain environments, how to strengthen decentralized AI agents and LLM ecosystems?" We know that the current AI development is experiencing rocket-like growth, and MCP further raises the universality of AI to the next level. The combination of blockchain and AI has faced much skepticism in the past, being seen as a tool for speculation, but how can the introduction of MCP bring new sparks to the integration of blockchain and AI? How can newbies without programming experience utilize this? All will be revealed in this AMA. Guest list: Nodit Marketing Manager Vicky, Nodit Developer Relations Manager @Damon XueDao, Core Contributor @gogo_allen15, BlockTempo Growth Manager @Alexchen823. MCP has become the strongest tool to help developers quickly connect on-chain data. Since the beginning of this year, MCP has become an important infrastructure for on-chain data integration, supporting multi-chain data queries and solving the cumbersome pain points of cross-chain invocation for developers. Nodit Marketing Manager Vicky stated: "In the past, querying on-chain data required running nodes and doing a lot of synchronization maintenance, which placed a very high demand on the infrastructure costs for the team. Through MCP, we abstract cross-chain data into a unified API query interface, helping developers focus on application innovation." Currently, Nodit MCP supports 13 chains including Ethereum, Polygon, Base, etc., allowing developers to quickly access wallet, token, NFT, and other data for DeFi, NFT, and trading tool development. Alan also added that MCP is not just a cross-chain data API; it includes multiple parsing modules targeting wallets, NFTs, DeFi protocols, and trading data, enabling developers to quickly combine and invoke on-chain information to create monitoring tools, automated strategies, and notification systems. The application potential of AI and on-chain data integration. The most important aspect of the combination of AI and MCP is how AI can use on-chain data, and what kind of output or products can be generated through MCP to lighten the heavy development burden. When discussing the combination of AI and MCP, Vicky mentioned that the application potential of the fusion of AI and on-chain data is the current focus of the MCP team because on-chain data itself is highly valuable and transparent public domain data, suitable for processing through AI models to generate more automated applications, making on-chain data "usable, useful, and widely used." "In the past, although on-chain data was publicly transparent, the usage threshold was high, requiring understanding of how to capture on-chain events, parse transaction data formats, and design storage and notification systems. Through MCP, we standardize this data for AI Agents or LLM models to read, allowing AI to monitor and analyze large cross-chain transactions, NFT activities, or changes in DeFi liquidity in real time." She also added that many users are not accustomed to interacting directly with on-chain smart contracts, but through the natural language interface of AI Agents, users can interact with the blockchain by "asking questions." "For example, users can directly ask, 'Help me check if my currently held NFTs have any new value updates,' or 'Monitor if my wallet is being targeted for an Airdrop scam NFT.' The AI Agent, combined with MCP's on-chain query capabilities, can respond instantly." Vicky believes that this kind of application not only allows users to interact with the blockchain painlessly but also enhances user sensitivity to asset security and real-time information management, thereby promoting the widespread adoption of blockchain applications. "The combination of MCP and AI can achieve almost imperceptible on-chain interactions for users. Through subscription events and SMS notifications, users can receive real-time reminders related to on-chain assets in Telegram, Line, or any community application, which we believe is the key to practical blockchain application implementation." "In the future, AI Agents can monitor on-chain events in real time and automatically execute functions such as risk alerts and cross-chain asset management, allowing users to complete complex operations by directly conversing with Agents." Alan also provided an example that in the future, when on-chain monitoring detects significant capital flows, AI Agents can first analyze the source and purpose of the transaction, then remind users based on preset conditions whether to reallocate assets, or even directly interact with DeFi protocols to complete reinvestment or stablecoin conversion operations. Therefore, the fusion of AI and on-chain data is an important direction for the future development of the MCP ecosystem. Alan pointed out: "In the future, AI Agents can directly query data on-chain, execute transactions, monitor anomalies, and interact across chains, forming truly decentralized and automated application scenarios." This not only reduces development costs but also allows users to complete daily on-chain interactions through AI without complex operations. The integration of AI and on-chain data is not merely about "querying" or "reminding" but can further assist in decision-making and execute automated operations, truly becoming a decentralized assistant (Agent) for users. "When on-chain data becomes a clean and structured data source through MCP, AI models can make intelligent analyses for DeFi operations. For example, when the market experiences a flash crash or a certain asset's price fluctuates rapidly, AI can determine whether to execute asset conversion or withdraw liquidity based on user-defined risk parameters." He exemplified that through the integration of AI and MCP, it will be possible in the future to automate the rebalancing of investment portfolios, automatically monitor wallet security events, and initiate cross-chain transfers, even executing complex asset management commands such as "when my total asset value falls below a certain threshold, automatically transfer stablecoins back to a Cold Wallet." Alan believes that this will not only elevate the "composability" of blockchain to the next level but also give AI Agents more concrete landing potential in on-chain applications, truly reducing the distance between users and on-chain applications. How developers can participate in the MCP ecosystem and how MCP enables non-developers to seamlessly connect. Vicky mentioned that the core goal of MCP is to lower the development threshold for on-chain applications, allowing more people from different backgrounds to enter the Web3 application creation space. She emphasized that even without a complete Web3 development background, as long as one knows how to call APIs, they can use MCP to develop application prototypes such as wallet monitoring alerts, NFT holding analysis, and transaction record queries, through modular interfaces quickly.