Author: CG Zhou Yijian Source: X, @Cyrus_G3

Following Agent, MCP has become the biggest hottest in the AI ​​track in 2025. This open source protocol developed by Anthropic is committed to becoming the HTTP protocol in the AI ​​world. It has been integrated by large AI services such as Microsoft; the MCP concept coin #DARK has recently risen against the trend, and FDV has risen from US$10 million in early April to US$30 million. So, what is MCP? What are the integration points between MCP and Crypto projects? This issue of "CG Vernacular Popular Science" will use an article to let you fully understand MCP.

1. What is MCP?

MCP, full name Model Context Protocol (Model Context Protocol), is an open standard protocol in the field of AI. You can think of it as the "universal plug" of the AI ​​world. Just like a universal plug that allows various appliances to be plugged into the same socket, MCP allows AI models to easily connect to various external tools and data sources, such as databases, file systems, or third-party APIs. It is an open source project developed by Anthropic, which is specifically used to solve the troubles of AI and external resources.

It should be noted that MCP is mainly used for applications that use AI models (such as AI assistant software), rather than directly for the AI ​​model itself. Simply put, it helps AI applications more conveniently "build bridges" with the outside world.

2. What problems does MCP solve?

Before the emergence of MCP, it was not that simple to make AI "chat" and "get a relationship" with external tools or data. Developers have to write code separately for each data source or tool, just like whenever they buy an electronic product, they had to be equipped with a dedicated charger, which was time-consuming and laborious. For example, if you want the AI ​​to check something from the database or organize the files in the computer, you have to write code from scratch every time, which is too troublesome. MCP is like a "universal charger" that provides a standardized connection method. As long as AI applications support MCP, they can easily connect with various external resources, save time and effort, and improve efficiency. A more vivid metaphor, MCP is like the USB Type-C that most of our mobile phones are now using, specifically helping AI applications to easily link external data. If the MCP protocol is promoted on a large scale, this will greatly improve the development and popularization of AI applications.

3. How does MCP work?

The way MCP operates is in the "client-server" mode, which sounds high-end, but is actually very simple:

MCP Host: Actually, it is the AI ​​application you use, such as a software called Claude Desktop. It is a "customer" responsible for greeting external resources.

MCP Server: In fact, it is a small service program that is specifically connected to a specific data source or tool, such as your file system or API.

Communication method: They use standardized "languages", such as JSON-RPC or gRPC protocols, to ensure safe and smooth communication.

For example: If you want an AI assistant to help you organize files in your computer. Through MCP, your AI application (host) can be directly connected to the file system (server), and then the AI ​​can read and write files and manage folders without having to write a lot of code for each file type. Just like you can control the lights and air conditioners at home with a remote control, it is very convenient.

4. Current problems encountered by MCP

While MCP sounds beautiful, it now has some issues waiting to be resolved:

1. Security: When dealing with external data, especially sensitive information (such as your encrypted wallet account), security is a big problem. MCP must ensure that these data will not be misused or leaked. @darkresearchai This project uses TEE (Trustable Execution Environment) to protect the security of encrypted accounts, so that Agent can safely use the MCP protocol to complete a series of on-chain operations.

2. Universality: MCP has not yet been truly popular yet. Currently, it is mainly because Microsoft AI services are integrated, and many large AI services have not yet integrated MCP. To truly become awesome, more developers and companies must join in to support it. Now MCP is still a "newcomer". Many people have not started using it yet, and the ecosystem is not big enough. This has led to many AI applications developed based on large models that cannot directly use MCP.

3. Compatibility: MCP must be sure to be able to play with different systems and different platforms. If some places cannot be used, it will be embarrassing. Just like when smart homes first came out, people were worried about whether they would be hacked, or some devices could not be connected at all, MCP now has similar problems.

V. The future value of MCP

If MCP can be widely accepted, it will be unlimited in the future. It may become the "common language" for AI to communicate with external resources, just like the Internet uses HTTP. At that time, AI applications will become smarter, more capable, and more things will be done.

For example, your AI assistant can directly mine data from the company's database, help you manage your schedule, and even cooperate seamlessly with other services, so you don't have to worry about the whole process. At that time, the real DeFi Agent was established. The Agent could traverse the entire chain to help you manage the on-chain assets and help you capture on-chain profits safely and efficiently. This is the real DeFAI.

Imagine that if MCP became the standard, developers would not have to write connection code "from scratch" every time, and the development speed of AI applications would be faster and the cost would be lower. Ultimately, we ordinary people can also use more powerful and convenient AI tools. MCP is still in its development stage and its future potential has not been fully realized, but the prospects are definitely worth looking forward to.

Summarize

In general, MCP is a "big move" in the AI ​​field. It uses a standardized protocol to allow AI applications to easily connect various tools and data sources, solving the cumbersome problems in previous developments. Although there are challenges such as security, adoption and compatibility, if you can get through it, MCP may completely change the way AI applications play and make them stronger and more popular. Just as mobile phones evolved from "brick machine" to smartphones, MCP may be the key driving force for AI to move to the next step! By then, the combination of Crypto and AI will become more convenient and efficient. I believe that a series of on-chain Agent applications worth looking forward to will be generated at that time.