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aitour26-WRK542-prototype-agents-with-Foundry-toolkit-and-model-context-protocol

![Microsoft Foundry Discord](https://aka.ms/MicrosoftFoundryDiscord-AITour26)。主要特性包括: Explore and compare models to select the best fit for their business scenario、 Augment models with prompts and data to get more accurate and grounded responses。

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2026-05-31
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agentgptopenaiclaudetool
查看 GitHub 仓库

详细介绍

项目简介

![Microsoft Foundry Discord](https://aka.ms/MicrosoftFoundryDiscord-AITour26)。主要特性包括: Explore and compare models to select the best fit for their business scenario、 Augment models with prompts and data to get more accurate and grounded responses。

主要特性

  • • Explore and compare models to select the best fit for their business scenario
  • • Augment models with prompts and data to get more accurate and grounded responses
  • • Prototype an agent by combining models and instructions with tools via MCP (Model Context Protocol)

适用场景

代码审查与优化
自动化测试编写
文档生成与维护
代码重构建议

快速开始

# 克隆仓库
git clone https://github.com/microsoft/aitour26-WRK542-prototype-agents-with-Foundry-toolkit-and-model-context-protocol
# 进入目录
cd aitour26-WRK542-prototype-agents-with-Foundry-toolkit-and-model-context-protocol
# 查看文档
cat README.md

原文 README

decorative banner

Microsoft AI Tour 2026

🔥WRK542: Prototype agents with Foundry Toolkit and Model Context Protocol

Microsoft Foundry Discord
Microsoft Foundry Developer Forum

If you will be delivering this session, check the session-delivery-sources folder for slides, scripts, and other resources.

Session Description

Learn how to build a conversational AI agent in VS Code using the Microsoft Foundry Toolkit and the Model Context Protocol (MCP). You'll explore and compare models to find the best fit for your agent, configure its instructions and enable sales analysis and product inventory management.

🧠 Learning Outcomes

By the end of this session, learners will be able to:

  • Explore and compare models to select the best fit for their business scenario
  • Augment models with prompts and data to get more accurate and grounded responses
  • Prototype an agent by combining models and instructions with tools via MCP (Model Context Protocol)

💻 Technologies Used

  1. Foundry Toolkit for Visual Studio Code
  2. GitHub models
  3. Microsoft Foundry Models
  4. MCP - Model Context Protocol

🔗 Session Resources

Resources Links Description
Additional Resources for this session https://learn.microsoft.com Links specific to this session

📚 Continued Learning Resources

Resources Links Description
AI Tour 2026 Resource Center https://aka.ms/AITour26-Resource-Center Links to all repos for AI Tour 26 Sessions
Microsoft Foundry Community Discord Microsoft Foundry Discord Connect with the Microsoft Foundry Community!
Learn at AI Tour https://aka.ms/LearnAtAITour Continue learning on Microsoft Learn

🌐 Multi-Language Support

Coming soon

Content Owners

Dave Glover
Dave Glover (Python)

📢
Carlotta Castelluccio
Carlotta Castelluccio

📢

🚀 Try Azure for Free!

You might need an Azure subscription to follow the steps in this repo. 👉 Start your free journey here: https://aka.ms/devrelft

This Azure Free Trial provides $200 credit for 30 days. Some features may incur costs after the trial. Check the Azure pricing calculator to estimate costs.

[!IMPORTANT]
Free Tier Limitations: The Azure free subscription has significant constraints that may prevent full implementation of this repo:

  • Model access: Some advanced models (e.g., GPT-5, Claude) may not be available or have very limited quotas
  • Rate limits: Strict API call limits (e.g., requests per minute, tokens per day)
  • Region restrictions: Free tier resources may only be available in limited regions
  • Feature restrictions: Some Microsoft Foundry features (agent orchestration, evaluations) may require pay-as-you-go
  • Credit exhaustion: $200 credit can be consumed quickly with heavy AI model usage

Recommendation: For full functionality, consider a pay-as-you-go subscription or request access to <a href="htt