SKYAI Launches Groundbreaking MCP Protocol, Igniting Web3 AI Revolution with Unprecedented Data Liquidity and Simplified Blockchain Access

Hong Kong, April 24, 2025

Current Limitations of AI in Web3 Applications

1. Limited Service Capabilities of On-chain AI Agents

On current blockchains like BSC and Solana, many so-called AI projects exist mostly in concept. Often, these projects are just traditional AI wrapped in a Web3 shell—sometimes nothing more than a repackaged ChatGPT. While this doesn’t mean they are without value (each agent may have its own strengths and technical innovations), the lack of communication between them and the inability to access real-time on-chain data severely limits their intelligence.In AI agent development, the integration of external data has a direct impact on service capabilities—especially in terms of data accuracy and timeliness. If these AI agents had access to both external and on-chain data, their utility and service potential would significantly improve.

2. Severe Data Silos and Lack of a Data Economy

In the realm of AI development—or the next generation of programming—data is the most crucial asset. On-chain or aggregated data in blockchain projects holds unique value. For example, gmgn, while not the only trading platform, has gained a massive user base and strong user stickiness due to its unique data features.Many creative project teams and developers possess first-hand aggregated data that is often proprietary to some extent. However, not all of them have the capability to build large-scale projects like gmgn. The key challenge now is how to unlock the liquidity of this data and how to turn it into economic value—this is a critical question for the next era.

3. High Barriers for Blockchain Use and Development

The unique technical nature of blockchain introduces steep learning curves for both users and developers.For users, the barriers begin at wallet creation. It’s difficult for the average person to understand what private keys or seed phrases are. They don’t get why they need to “approve” a transaction before selling, why a transaction can get front-run, or how a seemingly normal asset could result in losses due to hacks.For developers, the complexities are just as daunting: what are ABIs? How to construct and sign transactions? Why do simple tasks require so much code? Why does building a basic smart contract involve so many layers of technical detail?

MCP: Born from Demand

To address these issues, the MCP (Model Context Protocol) emerged at just the right time. Web3 data infrastructure project SKYAI launched an expanded MCP protocol to connect blockchain data with LLM (Large Language Model) applications. This protocol is compatible with existing MCP clients and also offers specialized clients to support enhanced capabilities.Currently, SKYAI supports aggregated datasets from BSC and Solana, comprising over 10 billion rows of data. Support for Ethereum and BASE chains is on the roadmap. SKYAI also introduces a new concept of “data liquidity” and will launch the MCP Market to build an open on-chain data economy ecosystem.

SKYAI’s MCP Creates Unique Value for All Ecosystem Participants:

1. For End Users (SKYAI ECOI Application Layer)

Simplified Blockchain Interaction: Natural language AI interfaces let users perform on-chain actions (e.g., trading, querying) without needing to understand private keys, seed phrases, or blockchain mechanics.

On-chain Data Analysis: AI-powered real-time insights, visualized reports, and investment suggestions.

Fraud Detection & Risk Mitigation: AI agents help identify suspicious behaviors and protect users from potential asset loss.

2. For Developers (SKYAI ECO Downstream 1)

Integrated Developer Toolkit: Access standardized APIs built on the extended MCP—no need to deal with ABIs or signing mechanisms.

Faster Development: Prebuilt AI modules (e.g., smart contract analyzers, user behavior predictors) reduce redundant work and speed up deployment.

Flexible & Compatible: MCP is compatible with existing AI tools and supports easy extension and integration.

3. For On-chain Projects (SKYAI ECO Downstream 2)

AI Agent Services: Enhance your dApps or smart contracts with AI capabilities like market forecasting, automated support, and intelligent interactions via the MCP layer.

Cross-chain Data Interoperability: MCP solves the “data silo” issue, allowing AI agents to access and utilize data across multiple blockchains seamlessly.

4. For Data Providers (SKYAI ECO Upstream)

Data Monetization Marketplace: List your data services (e.g., analytics APIs) on the MCP Market in a standardized format for developers and users.

Zero Front-end Development Cost: Simply comply with the MCP protocol—no need to build UI/UX.

Built-in Incentive Mechanisms: Blockchain-native reward systems ensure transparent and fair revenue distribution to data contributors.

SKYAI's Meteoric Rise

In just a few days, SKYAI has sparked a wave of enthusiasm across BNB Chain and even the broader blockchain space.Its social media account @SKYAIpro gained over 129,000 new followers, with an average tweet view count of 30,000+ and a peak of 146,000+, achieving massive attention across platforms.

The arrival of SKYAI has undoubtedly reignited excitement in what was a relatively sluggish market. Could this mark the beginning of a new wave of AI hype and potentially the next bull ? Time will tell—but it’s a trend worth watching closely.

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