Can SKYAI open up new growth opportunities? MCP is emerging as a new competitive direction for AI Agent

In 2026, AI Agents are entering a new stage of development. Compared with the previous round of competition focused on large-model capabilities, more and more developers are starting to pay attention to how AI can call external tools, connect real-time data, and complete complex tasks—and MCP (Model Context Protocol) has therefore become an important technical direction in the AI infrastructure space. Since Anthropic proposed the MCP open protocol at the end of 2024, its ecosystem has continued to expand, and more and more AI platforms and developers have begun building applications around this standard.

Meanwhile, the competitive logic behind Web3 AI projects is also changing. In the past, the market focused more on the concept of AI Agents and application scenarios; today, developers are paying more attention to the data layer, the tool layer, and the ability for collaboration between Agents. SKYAI is pushing forward MCP Hub, a multi-chain data network, and the development of developer tools in this context, hoping to become an important infrastructure that connects AI Agents with blockchain data.

From market performance, after completing an initial rapid rise, SKYAI has entered a period of consolidation. Rather than simply debating whether prices go up or down, the market is currently more concerned about the following: as MCP heat continues to grow, is AI Agent infrastructure entering a new development phase? And can SKYAI leverage this trend to unlock new growth opportunities?

Why Is MCP Becoming an Important Competitive Direction for AI Agents?

The development focus of AI Agents is shifting from “how smart the model is” to “how many real-world tasks the model can complete.”

Early large models mainly relied on training data to answer questions, but more and more enterprises are beginning to want AI to be able to call databases, access APIs, execute workflows, and even perform cross-platform operations. This means AI needs not only reasoning capabilities, but also stable and secure connections to external tools and data. Against this backdrop, MCP has been proposed with the goal of establishing a unified interface, making it easier for AI Agents to call different data sources and tools. Anthropic defines MCP as an open protocol between AI and external systems, with a goal similar to the “USB-C interface” in the AI world.

For developers, a unified protocol means lower development costs and better collaboration among different models, tools, and applications. Therefore, the value of MCP is not limited to any single AI company; it could become an important infrastructure for the future AI Agent ecosystem.

The reasons driving the rapid development of MCP mainly include:

• AI Agents’ growing reliance on real-time data and external tools;
• Developers want to reduce the costs of adapting interfaces across different models;
• Enterprises are beginning to build multi-Agent collaborative workflows;
• AI applications are gradually expanding from chat-based Q&A to automatically executing tasks.

From an industry perspective, the rise of MCP indicates that the competitive focus of AI Agents is changing. In the future, what truly determines a platform’s competitiveness may not only be model capabilities, but also data connectivity capabilities, the tool ecosystem, and the developer experience.

Why Does SKYAI Focus on MCP and On-Chain Data Infrastructure?

For Web3 AI projects, supporting AI Agents alone is no longer sufficient to build a long-term competitive advantage. How to enable AI to obtain on-chain data safely and efficiently has become a new competitive priority.

According to official information, SKYAI is building a data connection layer between AI and blockchain around the MCP Hub. The project has already supported on-chain data from BNB Chain and Solana, and announced that its data scale has exceeded 10 billion rows; it will further expand to more networks such as Ethereum and Base. The official goal is for MCP Hub to allow AI Agents to access data resources from different blockchains in a unified way, without needing to develop interfaces for each chain separately.

In addition to building the data layer, the official team has recently continued updating the Playground, custom MCPs, and developer tools. Compared with the earlier market narrative centered around Tokens, the project’s focus has gradually shifted to the developer ecosystem. It aims to attract more applications to connect to the MCP Hub, rather than relying solely on market sentiment to drive attention.

From industry competition, AI Agents are gradually entering a “infrastructure competition” phase. Whoever can establish stable data networks first, develop strong developer ecosystems, and offer tool connectivity will have a better chance of becoming an important entry point for future AI applications. SKYAI’s product roadmap also reflects this trend.

After SKYAI’s Pullback, Is the Market Fulfilling Expectations or Repricing?

From the Gate weekly chart, SKYAI experienced a round of rapid growth driven by the AI Agent boom, with noticeable trading volume at high levels, and then entered a sustained price adjustment phase. The current price has fallen back to around the earlier dense trading area, and market sentiment has clearly cooled compared with the peak.

However, this trend does not necessarily mean the market is rejecting the project itself. From the growth-pattern perspective of growth-stage projects, valuation corrections after a rapid rise are not uncommon. In the early period, the capital was trading more on market expectations for AI Agents and MCP; once the adjustment phase begins, investors start paying more attention to whether the product can deliver, whether developers continue to grow, and whether the ecosystem is generating real demand.

Therefore, the market right now looks more like it is undergoing a value reappraisal rather than a simple fade in sentiment. Whether SKYAI can regain market attention in the future largely still depends on the actual implementation of the MCP Hub, the expansion pace of the multi-chain data network, and whether the developer ecosystem can continue to expand.

What Changes Are Happening in the AI Agent Infrastructure Track?

If 2024 was the year when AI Agent concepts spread rapidly, then the competitive focus in 2026 has clearly changed.

In the past, the market paid more attention to model parameters, reasoning capabilities, and the number of Agent applications; today, developers are paying more attention to how AI obtains real-time data, calls external tools, and collaborates with other Agents. This means AI Agent competition is gradually extending from the model layer to the infrastructure layer, and the importance of data connectivity, protocol standards, and developer tools is increasing continuously.

Under this trend, more and more Web3 AI projects are rolling out plans across different infrastructure directions. For example, some projects focus on decentralized compute networks, some build AI data layers, and others explore Agent collaboration frameworks. SKYAI chooses MCP Hub + multi-chain data network as its core entry point—essentially solving the problem of how AI Agents can access on-chain data more efficiently, rather than simply launching a new AI application.

For the industry as a whole, future AI Agent competition may be concentrated in the following directions:

• Unified protocol: Reduce integration costs among different models, tools, and applications.
• Real-time data: Improve AI’s ability to obtain on-chain and off-chain information.
• Developer ecosystem: Attract more applications to develop based on unified infrastructure.
• Multi-Agent collaboration: Support multiple AI Agents to complete complex workflows.

This means the value of AI Agents is shifting from “how strong the model is” to “whether the ecosystem is well developed,” and the importance of infrastructure is also expected to keep increasing.

What Factors Determine SKYAI’s Long-Term Growth Potential?

For infrastructure-type projects, long-term value usually comes from network usage rather than short-term market hype. Whether SKYAI can unlock new growth space in the future needs to be observed from both product and ecosystem perspectives.

First, you need to pay attention to whether MCP Hub can truly enter developers’ everyday workflows. If more projects start building MCP services based on SKYAI, the platform’s value will gradually move from concept to actual use. Conversely, if developer adoption grows slowly, the market may continue to stay on the sidelines.

Second, whether the multi-chain data network can continue to expand is also critical. The official team has already supported BNB Chain and Solana and plans to further integrate ecosystems such as Ethereum and Base. As the number of supported chains increases, the range of data that AI Agents can call will keep expanding as well—this is also an important difference between SKYAI and ordinary AI applications.

Key factors that will affect SKYAI’s long-term development in the future include:

• The official launch of MCP Hub and the rate of developer adoption;
• The expansion speed and data quality of the multi-chain data network;
• The actual usage of tools such as Playground and custom MCPs;
• Partnerships across the AI Agent ecosystem and real application deployment;
• The overall development pace of the AI infrastructure track.

For the market, the importance of these fundamental indicators has already gradually surpassed that of short-term price fluctuations.

How to Keep Following SKYAI Through Gate?

For users who follow AI Agents and Web3 AI infrastructure, SKYAI is more suitable as a representative project for observing industry development trends, not merely as a price-fluctuation asset.

Through Gate, users can continuously follow SKYAI’s market performance, while also tracking the project’s long-term development by combining official product updates, developer ecosystem building, and MCP-related progress. For infrastructure projects, product iterations, ecosystem partnerships, and developer adoption rates often reflect a project’s true competitiveness more than short-term prices.

It is recommended to focus on the following:

• The official launch of MCP Hub and its feature updates;
• Iterations to the official Playground and developer tools;
• Whether the supported coverage of the multi-chain data network continues to expand;
• The development dynamics of the AI Agent and MCP ecosystem;
• SKYAI’s product roadmap and official announcements.

Summary

The rapid development of MCP is pushing AI Agents from model competition toward infrastructure competition. As AI applications increasingly rely on real-time data, tool calling, and multi-Agent collaboration, the importance of unified protocols and data connectivity continues to rise—bringing new development opportunities to the data infrastructure direction represented by SKYAI.

For SKYAI, what truly determines long-term growth space is not short-term market sentiment, but whether MCP Hub can attract developers, whether the multi-chain data network can continue to expand, and whether the product can form real usage scenarios. If AI Agent infrastructure continues to mature, SKYAI still has the opportunity to find new growth momentum in this round of industry upgrade.

FAQ

Why is SKYAI starting to roll out MCP?

SKYAI chose to roll out MCP in order to help AI Agents connect on-chain data and external tools more efficiently. As MCP gradually becomes an open protocol direction for AI Agents, unified data connectivity is becoming an important component of infrastructure competition.

Why is MCP getting attention from AI Agent developers?

MCP provides a unified way to call tools and connect data, which can reduce development costs and improve collaboration efficiency between different models, Agents, and external systems—so it is gaining attention from more and more developers.

What are SKYAI’s long-term value drivers mainly based on?

SKYAI’s long-term value mainly depends on the adoption rate of MCP Hub, the building of the multi-chain data network, the developer ecosystem, and the growth of real AI Agent applications—not just the market performance of Tokens.

What does SKYAI’s current price pullback mean?

From the market perspective, SKYAI’s pullback is closer to a typical value reappraisal process for growth-stage projects. As the market shifts from trading concepts to focusing on product delivery, development progress and ecosystem building will become more important indicators to watch.

Is there still room for growth in AI Agent infrastructure?

AI Agent infrastructure is still in a rapid development stage. With continued growth in enterprise-grade AI, intelligent agents, and automated workflows, data connectivity, protocol standards, and developer tools are expected to remain key development directions for the industry in the future.