MCP Overview

What is Model Context Protocol?

Model Context Protocol (MCP) is an open protocol developed by Anthropic that enables AI assistants to securely access external data sources and tools. Through standardized interfaces, MCP allows AI applications to interact with various resources such as file systems, databases, API services, etc., greatly expanding the capabilities of AI.

Core Advantages

Standardized Interface

Unified protocol specification, simplifying integration development

Secure and Reliable

Built-in security mechanisms and access control

Easy to Extend

Support for custom tools and resources

Open Ecosystem

Open source protocol, community-driven development

Application Scenarios

Code Assistant

Connect to IDEs, version control systems, providing intelligent code analysis and automated development tools

Data Analysis

Access databases, APIs, perform complex data queries and analysis tasks

Workflow Automation

Integrate various tools and services to build intelligent workflows

Quick Start

Getting started with MCP only requires a few simple steps:

1

Understand Architecture

Learn MCP's three-layer architecture design and core concepts

2

Choose Tools

Select appropriate MCP servers or develop your own implementation based on needs

3

Integrate Applications

Connect MCP servers to AI clients and start experiencing enhanced capabilities