Why Choose MCP?
MCP provides a standardized way to handle context interaction between AI models and development environments
Through a unified protocol, we can enable AI to better understand code structure, project environment, and developer intent
Core Components
- Protocol Specification
- Desktop Integration
- Server Implementation
Protocol Design
Simple yet powerful protocol design based on JSON-RPC 2.0, supporting bidirectional communication and rich context interaction
Resource Management
Unified resource access interface, supporting multiple resource types such as code and documentation
Tool Integration
Flexible tool integration mechanism, supporting various tools such as file system and terminal
Message Communication
Standardized message format, supporting rich context information transmission
Core Features
Standardized
Standardized protocol design based on JSON-RPC 2.0
Extensible
Flexible extension mechanism supporting custom functionality
Secure and Reliable
Built-in security mechanisms ensure secure data transmission
Simple Integration
Providing simple and easy-to-use APIs and SDKs for quick integration into your projects
{"mcpServers": {"filesystem": {"command": "npx","args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"]},"git": {"command": "uvx","args": ["mcp-server-git", "--repository", "path/to/git/repo"]},"github": {"command": "npx","args": ["-y", "@modelcontextprotocol/server-github"],"env": {"GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"}},"postgres": {"command": "npx","args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://localhost/mydb"]}}}
Global Support
Supporting multiple languages and regions, making it easy for developers worldwide to use
English
English
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