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MCP Server Boilerplate

MCP Base是一个用于构建Model Context Protocol(MCP)服务器的Python基础模板,提供模块化工具、提示和资源管理,支持多种传输层(如STDIO、SSE、HTTP),并包含安全、可扩展和可维护的生产级最佳实践。
2分
15

What is MCP Base?

MCP Base is a foundational template that helps developers quickly build servers following the Model Context Protocol standard. It provides ready-to-use components for creating AI tools, prompts and resources that can be accessed by language models.

How to use MCP Base?

Simply install the package, configure your environment, and start the server with your preferred communication method (command line, web API, etc.). Then connect your AI applications to access the server's capabilities.

Use Cases

Ideal for developing AI agent platforms, building custom tools for language models, or creating managed prompt services. Commonly used in AI automation, content generation, and data processing scenarios.

Key Features

Multiple Connection OptionsSupports different ways to connect including command line (STDIO), web streaming (SSE), and standard HTTP API
Easy to ExtendAdd new tools, prompts or resources by simply creating new modules - no need to modify core code
Built-in SecurityIncludes safety features like input validation, access controls, and operation sandboxing
Ready for DeploymentComes with logging, configuration management and Docker support for easy production use

Pros and Cons

Advantages
Saves development time with ready-to-use foundation
Flexible architecture supports various AI use cases
Secure by design with multiple protection layers
Easy to maintain with clean code structure
Limitations
Requires Python knowledge for customization
Basic setup needs technical configuration
Limited to MCP protocol compatibility

Getting Started

Install Dependencies
First install required Python packages
Configure Environment
Copy and edit the environment configuration file
Start Server
Run the server using your preferred connection method

Example Uses

File ProcessingLet AI access and process files in a secure directory
API IntegrationConnect AI to external services through API tools
Prompt ManagementUse stored prompts for consistent AI responses

Frequently Asked Questions

Do I need to know Python to use this?
Can I add my own tools?
Is this secure for production use?

Helpful Resources

MCP Protocol Documentation
Official documentation for Model Context Protocol standard
Python SDK
Official Python implementation for MCP
Community Forum
Get help and share ideas with other developers
安装
复制以下命令到你的Client进行配置
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