Mcp Quickstart Guide
What is Mcp Quickstart Guide
The Model Context Protocol (MCP) is an open standard protocol developed by Anthropic to address the connection challenges between AI assistants and data systems. MCP provides a unified framework for facilitating seamless access to various data sources, enabling advanced AI models to generate more relevant and effective responses.
Use cases
MCP can be applied in various scenarios including file system integration where it allows reading files directly through a registered server function, and database connections that facilitate executing SQL queries and returning results efficiently. Its flexibility allows it to support multiple data sources and use cases.
How to use
To get started with MCP, install the Python or Node.js package. Create an MCP server and define resources or tools as functions. For instance, you can define a resource to return data or a tool to read a file. After setting up, start the server to handle incoming requests and responses.
Key features
MCP’s key features include standardized connections providing a unified data access interface, robust security mechanisms for bi-directional communication, and flexibility that supports various data sources along with customizable extensions, making it compatible across platforms.
Where to use
MCP is suitable for use in environments where AI systems need to interact with diverse data sources, such as enterprise data integration applications, cloud-based services, or any context requiring secure and efficient data access between AI and backend systems.
Overview
What is Mcp Quickstart Guide
The Model Context Protocol (MCP) is an open standard protocol developed by Anthropic to address the connection challenges between AI assistants and data systems. MCP provides a unified framework for facilitating seamless access to various data sources, enabling advanced AI models to generate more relevant and effective responses.
Use cases
MCP can be applied in various scenarios including file system integration where it allows reading files directly through a registered server function, and database connections that facilitate executing SQL queries and returning results efficiently. Its flexibility allows it to support multiple data sources and use cases.
How to use
To get started with MCP, install the Python or Node.js package. Create an MCP server and define resources or tools as functions. For instance, you can define a resource to return data or a tool to read a file. After setting up, start the server to handle incoming requests and responses.
Key features
MCP’s key features include standardized connections providing a unified data access interface, robust security mechanisms for bi-directional communication, and flexibility that supports various data sources along with customizable extensions, making it compatible across platforms.
Where to use
MCP is suitable for use in environments where AI systems need to interact with diverse data sources, such as enterprise data integration applications, cloud-based services, or any context requiring secure and efficient data access between AI and backend systems.
Content
Model Context Protocol (MCP) 快速入门指南
Model Context Protocol (MCP) 是由 Anthropic 开源的一个新标准协议，旨在解决 AI 助手与数据系统之间的连接问题。本仓库提供了 MCP 的详细介绍、工具清单以及快速启动指南。
目录
简介
MCP 通过提供统一的开放标准，替代了以往分散的集成方式，使 AI 系统能够更便捷地访问各种数据源。它的主要目标是帮助前沿模型产生更好、更相关的响应。
为什么选择 MCP？
- 统一标准: 提供通用协议，避免重复开发
- 双向连接: 支持 AI 系统和数据源之间的安全双向通信
- 简单集成: 易于实现和扩展
- 开源生态: 活跃的开发者社区和丰富的工具支持
架构概览
核心特性
-
标准化连接
- 统一的数据访问接口
- 标准化的通信协议
- 可扩展的架构设计
-
安全性
- 安全的双向连接
- 访问控制机制
- 数据隔离保护
-
灵活性
- 支持多种数据源
- 可自定义扩展
- 跨平台兼容
快速开始
前置条件
- Python 3.8+ 或 Node.js 14+
- Claude Desktop App（可选）
基本用法
- 安装
# Python
pip install mcp-python
# Node.js
npm install @anthropic-ai/mcp-node
- 创建服务器
from mcp import MCPServer
# 创建 MCP 服务器
server = MCPServer()
# 注册资源
@server.resource
def get_data():
return {"message": "Hello from MCP!"}
# 启动服务器
server.start()
工具列表
MCP 提供了丰富的工具集，详细信息请查看 tools.md
常见用例
1. 文件系统集成
@server.tool
def read_file(path: str):
with open(path, 'r') as f:
return f.read()
2. 数据库连接
@server.tool
def query_database(sql: str):
# 实现数据库查询逻辑
pass
贡献
我们欢迎任何形式的贡献！
许可证
本项目采用 MIT 许可证