📢 Gate Square #MBG Posting Challenge# is Live— Post for MBG Rewards!
Want a share of 1,000 MBG? Get involved now—show your insights and real participation to become an MBG promoter!
💰 20 top posts will each win 50 MBG!
How to Participate:
1️⃣ Research the MBG project
Share your in-depth views on MBG’s fundamentals, community governance, development goals, and tokenomics, etc.
2️⃣ Join and share your real experience
Take part in MBG activities (CandyDrop, Launchpool, or spot trading), and post your screenshots, earnings, or step-by-step tutorials. Content can include profits, beginner-friendl
MCP protocol: A new standard for AI agents interacting with tools, innovating development models to enhance efficiency.
MCP: The Standardization Revolution of AI Agents and Tool Interaction
Introduction
With the rapid development of AI technology, intelligent agents (Agent) are transitioning from theory to practice, becoming the focus of the technology sector. However, how to enable these agents to interact efficiently and safely with the real world has always been a key issue troubling the industry. In November 2024, Anthropic launched the Model Context Protocol (Model Context Protocol, MCP), an open-source standardized protocol, hailed as the "USB-C of AI." MCP promises to revolutionize the development and application model of agents by connecting large language models with external tools and data sources through a unified interface.
For ordinary users, MCP is more like an "AI magic key" that allows non-technical people to easily command intelligent assistants to complete daily tasks. Imagine, just saying "organize my schedule and remind me of tomorrow's meeting," MCP can get it done in seconds; or saying "design a birthday card and send it to my friend," it can instantly generate and deliver it. MCP transforms AI from a complex technology into a handy helper in personal life, saving time, inspiring creativity, and protecting privacy.
This article will comprehensively analyze the full picture of MCP from the dimensions of technical architecture, core advantages, application scenarios, ecological status, potential and challenges, and future trends, providing a detailed guide for technology enthusiasts, developers, business decision-makers, and individual users. Let's explore together how this "key" unlocks the infinite possibilities of AI.
1. What is MCP?
1.1 Definition and Origin
MCP( Model Context Protocol is a standardized protocol released as open source by Anthropic in November 2024, aimed at addressing the fragmentation issue in the interaction between AI models and external tools and data. It is dubbed "the USB-C of AI" or "universal plug," providing a unified interface that allows AI agents to seamlessly access external resources such as databases, file systems, web pages, and APIs without the need to develop complex adaptation code for each tool individually.
The core goal of MCP is to empower AI agents with the ability to transition from "understanding" to "action" through standardization, allowing developers, enterprises, and even non-technical users to customize the agents, becoming a bridge between the virtual intelligence and the physical world. As of March 2025, over 2000 community-developed MCP Servers have gone live, covering scenarios from file management to blockchain analysis, with participation from 300+ GitHub projects and a growth rate of up to 1200%.
![Understanding MCP in One Article: The Standardization Revolution of AI Intelligent Tool Interaction])/images/ax73k64J2X.png(
) 1.2 What is MCP for individual users?
For individual users, MCP is the "magic key of AI," making complex intelligent tools accessible. It allows ordinary people to command AI to complete daily tasks through natural language without any programming knowledge, completely breaking down technical barriers. For example, a user can say, "Organize my schedule and remind me of tomorrow's meeting," and MCP will automatically connect the calendar, email, and reminder tools to complete the task in seconds.
MCP is not only suitable for simple tasks but also stimulates creativity and solves life needs.
In terms of privacy, the permission control mechanism of MCP allows users to have complete control over the flow of data. For example, one can set "only allow AI to read the calendar, do not touch the photos", with a reliability of permissions reaching 98%, far exceeding the vague authorization of traditional cloud services.
1.3 Why is MCP needed?
Traditionally, the knowledge of AI models is limited to the training data and cannot access real-time information. For example, if a language model wants to analyze the cryptocurrency market trends in March 2025, it requires manual data input or writing dedicated API calls, which can take hours or even days. More seriously, when multiple models and tools are involved, developers face the "M×N problem"—assuming there are 10 AI models and 10 external tools, 100 custom integrations need to be written, leading to exponential complexity.
The emergence of MCP is precisely to break these barriers. It simplifies the number of connections from N×M to N+M###10 models and 10 tools require only 20 configurations(, allowing AI agents to flexibly call tools like humans through standardized interfaces. For example, querying real-time stock prices and generating reports, which takes 2 hours with traditional methods, only takes 2 minutes with MCP.
2. The Technical Architecture and Internal Operating Principles of MCP
) 2.1 Technical Background and Ecological Positioning
The technical foundation of MCP is JSON-RPC 2.0, which is a lightweight and efficient communication standard that supports real-time bidirectional interaction. It operates through a client-server architecture:
Transmission methods include:
![Understand MCP in One Article: The Standardized Revolution of AI Intelligent Body Tool Interaction])/images/Tn0C69iyfm.png(
) 2.2 Architecture Design
MCP adopts a client-server architecture, with its core components including:
( 2.3 primitive function
MCP implements functions through three types of "primitives" ) Primitives ###:
In addition, MCP supports the "sampling" ( Sampling ) function, allowing the server to request the language model to process tasks, with users reviewing requests and results to ensure safety and transparency.
( 2.4 Communication Process
The operating mechanism of MCP includes four stages:
3. Why should we pay attention to MCP?
) 3.1 Current Pain Points in the AI Ecosystem
( 3.2 MCP's breakthrough advantages
( 3.3 Importance and Impact
MCP is not only a technological breakthrough but also a catalyst for ecological transformation. It acts like the Rosetta Stone, unlocking communication between AI and the external world; it is also like the standardization of containers, changing the efficiency of global trade. For example, a pharmaceutical company integrated 10 data sources through MCP, reducing research query time from 2 hours to 10 minutes and improving decision-making efficiency by 90%.
4. Application Scenarios and Case Studies of MCP
) 4.1 Diversified Application Scenarios
Development and Productivity:
Creativity and Design:
Data and Communication:
Education and Healthcare:
Blockchain and Finance:
4.2 In-depth analysis of specific cases
Taking "File Management" as an example, Claude scans 1,000 files through the MCP Server and generates a 500-word summary in just 0.5 seconds. The traditional method requires manually uploading files to the cloud, taking several minutes. The resource primitives of MCP provide file content, prompt primitives guide the summary, and tool primitives execute operations, working in perfect collaboration.
V. MCP Ecosystem: Current Status and Participants
5.1 Ecological Architecture
The MCP ecosystem has initially taken shape, encompassing four major roles:
Client:
Server:
Market:
Infrastructure:
( 5.2 ecological data
![Understanding MCP in One Article: The Standardized Revolution of AI Intelligent Body Tool Interaction])