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ignite25-LAB571-build-a-pizza-ordering-agent-with-microsoft-foundry-and-mcp

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Microsoft Ignite 2025

🔥LAB571: Build a Pizza Ordering Agent with Microsoft Foundry and MCP

Microsoft Foundry Discord Microsoft Foundry Developer Forum

Session Description

In this hands-on workshop, you’ll learn to build domain-specific AI agents with Foundry Agent Service. Starting from a simple agent, you’ll add system prompts, custom instructions, and knowledge with RAG. You’ll extend it with tool calling (like a pizza calculator) and connect external services via MCP for live menu and order handling. By the end, you’ll have a working Contoso PizzaBot that can answer questions, recommend pizzas, and manage orders.

🧠 Learning Outcomes

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

  • Get hands-on experience with Microsoft Foundry
  • Learn how to build intelligent agents step by step
  • Understand practical use cases for system prompts, RAG, tool calling, and MCP

💻 Technologies Used

  1. Microsoft Foundry
  2. Visual Studio Code
  3. Python

📚 Resources and Next Steps

ResourcesLinksDescription
Ignite 2025 Next Stepshttps://aka.ms/Ignite25-Next-StepsLinks to all repos for Ignite 2025 Sessions
Microsoft Foundry Community DiscordMicrosoft Foundry DiscordConnect with the Microsoft Foundry Community!
Learn at Ignitehttps://aka.ms/LearnAtIgniteContinue learning on Microsoft Learn
Microsoft Foundry SDKhttps://aka.ms/aifoundrysdkExplore the Microsoft Foundry SDK Client Libraries

Content Owners

INSERT NAME HERE
Henk Boelman
📢

🚀 Try Azure for Free!

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Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit Contributor License Agreements.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

Collected info

  • ★ 38 stars
  • ⎇ 33 forks
  • Source updated: 1/22/2026

Config for your environment

Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.

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Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "{MCP_ENDPOINT_URL}"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.