本仓库包含了Coursera课程《带模型上下文协议的AI代理》的Python代码示例。

先修条件

• Python 3.10+
• PIP
• 来自 OpenAI、Anthropic 或 Google 的 API 密钥（设置在 .env 文件中）

布置

每个模块都有自己的 python-code/ 目录。要设置任意模块：

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课程结构与代码映射

模块1：AI代理模型上下文协议（MCP）入门

模块1为概念介绍——无代码练习。

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模块2：AI代理循环与模型上下文协议

AI Agents with Model Context Protocol - Python Code Examples

This repository contains Python code examples for the Coursera course “AI Agents with Model Context Protocol.”

Prerequisites

• Python 3.10+
• pip
• An API key from OpenAI, Anthropic, or Google (set in .env file)

Setup

Each module has its own python-code/ directory. To set up any module:

cd /python-code
pip install -r requirements.txt
cp .env.example .env  # Then add your API key(s)

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Course Structure & Code Mapping

Module 1: Getting Started with Model Context Protocol (MCP) for AI Agents

Module 1 is conceptual introduction — no code exercises.

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Module 2: AI Agent Loops & Model Context Protocol

Code Location: 01-intro-to-mcp-agents/python-code/

Key Files:

Commands:

cd 01-intro-to-mcp-agents/python-code
pip install -r requirements.txt
python server.py              # Start the basic MCP server
python agent.py "question"    # Run the basic agent
python test_server.py         # Test server tools directly

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Module 3: Building AI Agents with Model Context Protocol