What exactly is MCP, the AI open-source protocol of Dahuo?

Author: CG Zhou Jian Source: X, @Cyrus_G3

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

1. What is MCP?

MCP, or Model Context Protocol, is an open standard protocol in the AI field. You can think of it as a "one-size-fits-all" for 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 a variety of external tools and data sources, such as databases, file systems, or third-party APIs. It is an open-source project developed by Anthropic to solve the problem of connecting AI with external resources.

It should be noted that MCP is mainly used for applications that use AI models (such as AI assistant software), not directly for AI models themselves. To put it simply, it is to help AI applications "bridge" with the outside world more conveniently.

2. What problems does MCP solve?

Before the advent of MCP, it was not so simple to make AI "talk" and "connect" with external tools or data. Developers have to write separate code for each data source or tool, just as they used to have to have a dedicated charger for every electronic product they bought, which was time-consuming and labor-intensive. For example, if you want the AI to look up something from a database or organize a file on your computer, you have to write code from scratch every time, which is too cumbersome. The MCP is like a "universal charger", providing a standardized way to connect. As long as the AI application supports MCP, it can be easily connected to various external resources, saving time and effort, and improving efficiency. To put it more figuratively, MCP is like USB Type-C, which is used in most of our mobile phones, specifically to help AI applications easily link external data. If the MCP protocol is popularized on a large scale, it will greatly accelerate the development and popularization of AI applications.

3. How does MCP work?

MCP works in a "client-server" model, which sounds lofty, but it's actually quite simple:

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

MCP Server: This is a small service that connects to a specific data source or tool, such as your file system or an API.

Communication: Standardized "languages" such as JSON-RPC or gRPC are used to ensure secure and smooth communication.

For example, let's say you want an AI assistant to help you organize the files on your computer. With MCP, your AI application (host) can connect directly 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. It's like you can control the lights and air conditioners at home with a remote control, which is very convenient.

Fourth, the MCP is currently encountering problems

While MCP sounds great, it now has a few issues waiting to be resolved:

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

2. Universality: At present, MCP is not really popular, and at present, it is mainly the integration of Microsoft AI services, and many large AI services have not yet integrated MCP. For MCP to be truly successful, more developers and companies need to join in to support it. Now MCP is still a "newcomer", many people have not started to use it, and the ecosystem is not big enough. As a result, many AI applications developed based on large models cannot directly use MCP.

3. Compatibility: Different systems and different platforms, MCP must ensure that they can all be played. If there are some places that don't work, it's embarrassing. Just like when the smart home first came out, everyone was worried about whether it would be hacked, or some devices could not be connected at all, and MCP now has a similar problem.

5. The future value of MCP

If MCP can be widely accepted, it will have the potential to become a "universal language" for AI to communicate with external resources, just like the Internet uses HTTP. When the time comes, AI applications will become smarter, more capable, and more capable of doing more.

For example, your AI assistant can mine data directly from your company's database, help you manage your schedule, and even work seamlessly with other services without you having to worry about it. At that time, the real DeFi Agent was established, and the Agent can traverse the whole chain to help you manage on-chain assets and help you capture on-chain benefits safely and efficiently, which is the real DeFAI.

Imagine if MCP became the standard, developers would not have to write connection code "from scratch" every time, and AI applications would be developed faster and at a lower cost. Eventually, we ordinary people will be able to use more powerful and convenient AI tools. MCP is still in the development stage, and the future potential has not yet been fully realized, but the prospect is definitely worth looking forward to.

Summary

In general, MCP is a "big move" in the field of AI. It solves the cumbersome problems of previous development by making it easy for AI applications to connect to various tools and data sources through a standardized protocol. While there are still challenges of security, adoption, and compatibility, if they can be overcome, MCP could revolutionize the way AI applications are played, making them more powerful and ubiquitous. Just like the evolution of mobile phones from "brick machines" to smartphones, MCP may be the key driver of AI to the next step! At that time, the combination of Crypto and AI will become more convenient and efficient, and it is believed that a series of on-chain agent applications based on MCP will be expected at that time.