In this hands-on lab, discover how to govern AI Apps & Agents using AI Gateway in Azure API Management. Learn to apply governance best practices by onboarding AI models, monitoring and controlling token usage, enforcing safety and compliance, and boosting performance with semantic caching. You’ll also govern MCP-based agent architectures by creating secure, efficient servers from APIs or connecting to backend MCP servers, equipping you to deliver responsible, resilient AI solutions at scale.
- Azure API Management as the AI Gateway
- Azure API Center as the MCP Registry
- Microsoft Foundry to serve the models and provide the Agent Service
The Microsoft Learn MCP Server is a remote MCP Server that enables clients like GitHub Copilot and other AI agents to bring trusted and up-to-date information directly from Microsoft's official documentation. Get started by using the one-click button above for VSCode or access the mcp.json file included in this repo.
For more information, setup instructions for other dev clients, and to post comments and questions, visit our Learn MCP Server GitHub repo at https://github.com/MicrosoftDocs/MCP. Find other MCP Servers to connect your agent to at https://mcp.azure.com.
Note: When you use the Learn MCP Server, you agree with Microsoft Learn and Microsoft API Terms of Use.
| Resources | Links | Description |
|---|---|---|
| Ignite 2025 Next Steps | https://aka.ms/Ignite25-Next-Steps | Links to all repos for Ignite 2025 Sessions |
| Microsoft Foundry Community Discord | Connect with the Microsoft Foundry Community! | |
| Learn at Ignite | https://aka.ms/LearnAtIgnite | Continue learning on Microsoft Learn |
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