MCP tools in Azure API Management: Secure, govern, and scale Your AI workflows
From Azure Friday by Scott Hanselman
November 7, 2025
About this episode
This episode discusses how AI Gateway capabilities in Azure API Management can be used to expose, mediate, and monitor MCP tools for AI workflows.
Learn how AI Gateway capabilities let you expose, mediate, and monitor MCP tools for end-to-end AI integration. Chapters 00:00 - Intro 00:57 - What are MCP servers? 01:33 - AI Gateway capabilities in API Management 03:18 - MCP architecture in API Management explained 05:12 - Demo: Create, secure, manage and govern MCP tools 16:25 - Roadmap and resources 18:44 - Outro Recommended resources Learn Docs Labs Azure Product page Connect Scott Hanselman | Twitter/X: @SHanselman Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure
People in this episode
Host: Scott Hanselman
Topics covered
- AI integration
- MCP tools
- API Management
- AI Gateway capabilities
- MCP architecture
- security
- governance
Keywords
- MCP servers
- AI Gateway
- API Management
- integration
- security
- governance
- demo
- architecture
- resources
Mentioned in this episode
Organizations: Azure, API Management, AI Gateway, Azure Friday
More episodes of Azure Friday
- New file share centric management model for Azure Files · June 3, 2026
- Anyscale on Azure: Scale Python AI workloads with managed Ray on AKS · June 2, 2026
- Azure MCP and Azure Skills · May 8, 2026
- Azure SRE Agent: End to end agentic operations platform for any kind of toil and at enterprise scale · April 24, 2026
- Migrate Oracle Workloads to Oracle AI Database@Azure · April 17, 2026
- Migrate Oracle Workloads to PostgreSQL Using AI-Powered Tools in the VS Code PostgreSQL Extension · April 9, 2026
Explore listener stats, chart rankings, contacts and more on the Azure Friday podcast page.